Machine Learning and Biological Computation Group

MLBC Publications

This is a list of all publications (co-)authored by members, or ex-members of the MLBC group, or papers with keywords relevant to the group's research areas:

2009

Peter Flach, Sebastian Spiegler, Bruno Golenia, Simon Price, John Guiver, Ralf Herbrich, Thore Graepel and Mohammed J. Zaki. Novel Tools To Streamline the Conference Review Process: Experiences from SIGKDD'09 (to appear). SIGKDD Explorations, volume 11(2), December 2009. Acrobat:313401 bytes.
Rafal Bogacz, Eric-Jan Wagenmakers, Birte U. Forstmann and Sander Nieuwenhuis. The Neural Basis of the Speed-Accuracy Tradeoff. Trends in Neurosciences, in press, December 2009.
Bowen Yan and Steve Gregory. Detecting Communities in Networks by Merging Cliques. In: 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems (ICIS 2009), pages 832--836. IEEE, November 2009. Acrobat:100331 bytes.
James Marshall, Rafal Bogacz, Anna Dornhaus, Robert Planque, Tim Kovacs and Nigel Franks. On optimal decision-making in brains and social insect colonies. Journal of the Royal Society: Interface, volume 6: 1065--1074, November 2009.
Ilias Flaounas, Marco Turchi and Nello Cristianini. Detecting Macro-patterns in the European Mediasphere. In: Web Intelligence and Intelligent Agent Technology, IEEE/WIC/ACM International Conference on, pages 527--530. IEEE Computer Society, October 2009. External information on this paper.
Tarek Abudawood and Peter Flach. Evaluation measures for multi-class subgroup discovery. In: ECML/PKDD'09, pages 35--50. Springer-Verlag Berlin Heidelberg, September 2009. Acrobat:192138 bytes.
Marco Turchi, Ilias Flaounas, Omar Ali, Tijl De Bie, Tristan Snowsill and Nello Cristianini. Found in Translation. In: ECML/PKDD 2009, pages 746--749. Springer, September 2009. External information on this paper.
Ilias Flaounas, Marco Turchi, Tijl De Bie and Nello Cristianini. Inference and Validation of Networks. In: ECML/PKDD 2009, pages 344--358. Springer, September 2009. External information on this paper.
Oliver Ray. Nonmonotonic abductive inductive learning. Journal of Applied Logic, volume 7(3): 329--340, September 2009. Acrobat:235684 bytes.
Jiaxiang Zhang and Rafal Bogacz. Optimal decision making on the basis of evidence represented in spike trains. Neural Computation, in press, September 2009.
Tobias Larsen, David S. Leslie, Edmund J. Collins and Rafal Bogacz. Posterior weighted reinforcement learning with state uncertainty. Neural Computation, in press, September 2009.
Sebastian Spiegler, Bruno Golenia and Peter Flach. Promodes: A probabilistic generative model for word decompositions. In: Working Notes for the CLEF 2009 Workshop, Corfu, Greece, September 2009. External information on this paper. Acrobat:408400 bytes.
Bruno Golenia, Sebastian Spiegler and Peter Flach. UNGRADE: UNsupervised GRAph DEcomposition. In: Working Notes for the CLEF 2009 Workshop, Corfu, Greece, September 2009. External information on this paper. Acrobat:72382 bytes.
Dalal Alrajeh, Oliver Ray, Alessandra Russo and Sebastian Uchitel. Using abduction and induction for operational requirements elaboration. Journal of Applied Logic, volume 7(3): 275--288, September 2009. Acrobat:253494 bytes.
Jiaxiang Zhang, Rafal Bogacz and Philip Holmes. A comparison of bounded diffusion models for choice in time controlled tasks. Journal of Mathematical Psychology, volume 53: 231--241, August 2009.
Oliver Ray and Bruno Golenia. A Neural Network Approach for First-Order Abductive Inference. In: IJCAI09 Workshop on Neural-Symbolic Learning and Reasoning, July 2009. Acrobat:264719 bytes.
Antonis C. Kakas and Peter Flach. Abduction and Induction in Artificial Intelligence. Journal of Applied Logic, volume 7(3): 251--251, July 2009.
James Marshall and Thomas Hinton. Beyond no free lunch: realistic algorithms for arbitrary problem classes. Technical Report CSTR-09-003, University of Bristol, July 2009. External information on this paper.
Domenico Corapi, Oliver Ray, Alessandra Russo, Arosha Bandara and Emil Lupu. Learning rules from user behaviour. In: 5th International Conference on Artificial Intelligence Applications and Innovations , pages 459--468. July 2009.
Narayanan Edakunni, Tim Kovacs, Gavin Brown and James Marshall. Modeling UCS as a Mixture of Experts. In: Proceedings of the 2009 Genetic and Evolutionary Computation Conference (GECCO'09), ACM, July 2009. Acrobat:231068 bytes.
Rafal Bogacz. Optimal decision-making theories. In: Handbook of Reward and Decision Making, Jean-Claude Dreher and Leon Tremblay, editors, pages 375--397. Oxford: Academic Press, July 2009. Acrobat:306468 bytes.
Nigel Franks, Anna Dornhaus, James Marshall and Francois Xavier Dechaume-Moncharmont. The dawn of a golden age in mathematical insect sociobiology. In: Gadau and Fewell (eds.) Organization of Insect Societies, pages 437--459. Harvard University Press, July 2009.
James Marshall. The donation game with roles played between relatives. Journal of Theoretical Biology, volume 260(3): 386--391, July 2009. External information on this paper.
Ksenia Shalonova, Bruno Golenia and Peter Flach. Towards Learning Morphology for Under-Resourced Fusional and Agglutinating Languages. IEEE Transactions on Audio, Speech, and Language Processing, volume 17(5): 956--965, July 2009.
Oliver Ray, Amanda Clare, Maria Liakata, Larisa Soldatova, Ken Whelan and Ross King. Towards the Automation of Scientific Method. In: IJCAI09 Workshop on Abductive and Inductive Knowledge Development, pages 27--33. July 2009. Acrobat:308843 bytes.
John F. Elder IV, Françoise Fogelman-Soulié, Peter Flach and Mohammed Zaki, editors. Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining . Association for Computing Machinery . June 2009. External information on this paper.
James Marshall and Nigel Franks. Colony-level cognition. Current Biology, volume 19(10): R395--R396, May 2009. External information on this paper.
William Klement, Peter Flach, Nathalie Japkowicz and Stan Matwin. Cost-based Sampling of Individual Instances. In: Canadian Conference on Artificial Intelligence, pages 86--97. Springer, May 2009.
Rafal Bogacz, Peter T. Hu, Philip Holmes and Jonathan D. Cohen. Do humans produce the speed-accuracy tradeoff that maximizes reward rate?. Quarterly Journal of Experimental Psychology, in press, May 2009.
Steve Gregory. Finding overlapping communities using disjoint community detection algorithms. In: Complex Networks: CompleNet 2009, pages 47--61. Springer-Verlag, May 2009. Acrobat:149311 bytes.
Oliver Ray. Towards a Rational Approach for the Logical Modelling of Inhibition in Metabolic Networks. In: International Conference on Advanced Information Networking and Applications (from 2009 IEEE International Workshop on Bioinformatics and Life Science Modeling and Computing), pages 918--923. IEEE, May 2009. Acrobat:116249 bytes.
Susanne Hoche, David Hardcastle and Peter Flach. Using Time Dependent Link Reduction to Improve the Efficiency of Topic Prediction in Co-Authorship Graphs. In: Complex Networks: Results of the 1st International Workshop on Complex Networks (CompleNet 2009), Springer, May 2009. Acrobat:364638 bytes.
Cyrus Chothia and Julian Gough. Genomic and Structural Aspects of Protein Evolution. Biochemical Journal, volume 419(1): 15--28, April 2009. External information on this paper. Acrobat:904736 bytes.
Narayanan Edakunni and Tim Kovacs. Probabilistic Modeling of UCS : a theoretical study. Technical Report CSTR-09-002, University of Bristol, April 2009.
Harakazu Suzuki, Julian Gough and FANTOM Consortium. The transcriptional network that controls growth arrest and differentiation in a human myeloid leukemia cell line. Nature Genetics, April 2009. External information on this paper. Acrobat:734627 bytes.
Oliver Ray, Ken Whelan and Ross King. A nonmonotonic logical approach for modelling and revising metabolic networks. In: 3rd International Conference on Complex, Intelligent and Software Intensive Systems (from 2nd International Workshop on Intelligent Informatics in Biology and Medicine), pages 825--829. IEEE Computer Society, March 2009. Acrobat:199637 bytes.
Tobias Larsen and Rafal Bogacz. Initiation and Termination of Integration in a Decision Process. Neural Networks, in press, March 2009.
Kamran Shafi, Tim Kovacs, Hussein A. Abbass and Weiping Zhu. Intrusion Detection with Evolutionary Learning Classifier Systems. Natural Computing, volume 8(1): 3--27, March 2009. External information on this paper. Acrobat:632257 bytes.
Sarah Hunter, Rolf Apweiler, Julian Gough, Derek Wilson, Louise Daugherty, Martin Madera and Nicola Mulder. InterPro: the integrative protein signature database. Nucleic Acids Research, volume 37: D211--D215, January 2009. External information on this paper. Acrobat:255993 bytes.
Derek Wilson, Ralph Pethica, Yiduo Zhou, Charles Talbot, Christine Vogel, Martin Madera, Cyrus CHothia and Julian Gough. SUPERFAMILY—sophisticated comparative genomics, data mining, visualization and phylogeny. Nucleic Acids Research, volume 37: D380--D386, January 2009. External information on this paper. Acrobat:1272521 bytes.

2008

Sebastian Spiegler, Bruno Golenia, Ksenia Shalonova, Peter Flach and Roger Tucker. Learning the morphology of Zulu with different degrees of supervision. In: Spoken Language Technology Workshop, 2008. SLT 2008. IEEE, pages 9--12. IEEE, December 2008. External information on this paper. Acrobat:83892 bytes.
John Chiverton, Majid Mirmehdi and Xianghua Xie. Variational Maximum A Posteriori Model Similarity and Dissimilarity Matching. In: International Conference on Pattern Recognition, IEEE, December 2008. External information on this paper. Acrobat:1232286 bytes.
Tim Kovacs. Aims, Objectives and Guidelines for PhD students. Technical Report, University of Bristol, November 2008. External information on this paper.
Tim Kovacs. Artificial Intelligence through Search: Solving Sudoku Puzzles. Technical Report, Department of Computer Science, University of Bristol, October 2008. Acrobat:216401 bytes.
Peter Trimmer, Alasdair Houston, James Marshall, Rafal Bogacz, Elizabeth Paul, Mike Mendl and John McNamara. Mammalian Choices: combining fast-but-inaccurate and slow-but-accurate decision-making systems. Proceedings of the Royal Society B, volume 275(1649): 2353--2361, October 2008. External information on this paper. Acrobat:231152 bytes.
Emma Tonkin and Alla Zollers. Performance Tags- Who's running the show?. In: Sig-CR 2008, October 2008.
Martin Madera. Profile Comparer: a program for scoring and aligning profile hidden Markov models. Bioinformatics, volume 24(22): 2630--2631, October 2008. External information on this paper. Acrobat:101099 bytes.
Jaume Bacardit, Ester Bernadó-Mansilla, Martin Butz, Tim Kovacs, Xavier Llorà and Keiki Takadama, editors. Learning Classifier Systems. 10th and 11th International Workshops (2006-2007) ,volume 4998. Springer . October 2008. External information on this paper.
Steve Gregory. A fast algorithm to find overlapping communities in networks. In: Proceedings of the 12th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD 2008), pages 408--423. Springer, September 2008. Acrobat:156853 bytes.
Zeng, L., Park, C.H., Venu, R.C., Gough, J., Wang and G.. Classification, Expression Pattern, and E3 Ligase Activity Assay of Rice U-Box-Containing Proteins. Mol Plant, volume 1(5): 800--815, September 2008. Acrobat:842962 bytes.
Zacharias Androulidakis, Andrew Lulham, Rafal Bogacz and Malcolm W. Brown. Computational models can replicate the capacity of human recognition memory. Network: Computation in Neural System, volume 19: 161--182, September 2008.
Domenico Corapi, Oliver Ray, Alessandra Russo, Arosha Bandara and Emil Lupu. Learning Rules from User Behaviour. In: 2nd International Workshop on the Induction of Process Models, September 2008. External information on this paper. Acrobat:219316 bytes.
Simon Price and Peter Flach. Querying and Merging Heterogeneous Data by Approximate Joins on Higher-Order Terms. In: Proceedings 18th International Conference on Inductive Logic Programming, pages 226--243. Springer Berlin / Heidelberg, August 2008. External information on this paper. Acrobat:337965 bytes.
Susanne Hoche, Peter Flach and David Hardcastle. A Fast Method for Property Prediction in Graph-Structured Data from Positive and Unlabelled Examples. In: Proceedings of the 18th European Conference on Artificial Intelligence, July 2008. Acrobat:142047 bytes.
William Klement and Peter Flach. Soft Receiver Operating Characteristics Curves. In: Proceedings of the 3rd International Workshop on Evaluation Methods for Machine Learning, ICML 2008, July 2008. External information on this paper.
Tilo Burghardt. Visual Animal Biometrics. PhD Thesis, University of Bristol, June 2008. External information on this paper. Acrobat:16988925 bytes.
Garrocho-Villegas, V., Bustos-Rivera, G., Gough, J., Vinogradov, S.N., Arredondo-Peter and R.. Expression and in silico structural analysis of a rice (Oryza sativa) hemoglobin 5. Plant Physiol. Biochem., volume xx: 1--5, May 2008. Acrobat:561090 bytes.
Oliver Ray and Chris Bryant. Inferring the function of genes from synthetic lethal mutations. In: 2nd International Conference on Complex, Intelligent and Software Intensive Systems (from 1st International Workshop on Intelligent Informatics in Biology and Medicine), pages 667--671. IEEE Computer Society, February 2008. Acrobat:75890 bytes.
Steve Gregory. Local Betweenness for Finding Communities in Networks. Technical Report, University of Bristol, February 2008. Acrobat:422801 bytes.
Oliver Ray and Katsumi Inoue. Mode-Directed Inverse Entailment for Full Clausal Theories. In: 17th International Conference on Inductive Logic Programming, pages 225--238. Springer, February 2008. Acrobat:182072 bytes.
Yoshitaka Yamamoto, Oliver Ray and Katsumi Inoue. Towards a Logical Reconstruction of CF-Induction. In: New Frontiers in Artificial Intelligence: JSAI 2007 Conference and Workshop Revised Selected Papers (from 5th Workshop on Learning with Logics and Logics for Learning), pages 330--343. Springer, February 2008. Acrobat:401008 bytes.

2007

. Genome analysis CAFE: a computational tool for the study of gene family evolution. pages 1269--1271. December 2007. This paper is not public, contact the author or log in.
Nigel R Franks, James W Hooper, Mike Gumn, Tamsyn H Bridger, James Marshall, Roderich Gross and Anna Dornhaus. Moving targets: collective decision and flexible choices in house-hunting ants. Swarm Intelligence, December 2007.
Susanne Hoche, Andreas Nuernberger and Peter Flach. Network Analysis in Natural Sciences and Engineering. AI Communications, volume 20(4), December 2007.
Jiaxiang Zhang and Rafal Bogacz. Superior Colliculus and Basal Ganglia Control the Saccadic Response in Motion Discrimination Tasks. In: 1st International Conference on Cognitive Neurodynamics, pages 475--479. November 2007.
Robert Planqué, Francois-Xavier Dechaume-Moncharmont, Nigel R. Franks, Tim Kovacs and James Marshall. Why do house-hunting ants recruit in both directions?. Naturwissenschaften, volume 94(11): 911--918, November 2007. External information on this paper. Acrobat:587205 bytes.
Tilo Burghardt and Anja Wasilewski. Conservational Prospects of Computer-aided Visual Bontebok Identification Using Biometrical Features. In: 6th International Zoo and Wildlife Research Conference on Behaviour, Physiology and Genetics, pages 248--250. October 2007.
Oliver Ray and Katsumi Inoue. A Consequence Finding Approach for Full Clausal Abduction. In: 10th International Conference on Discovery Science, pages 173--184. Springer, September 2007. Acrobat:156404 bytes.
Tilo Burghardt, Neill Campbell, Peter J Barham, Innes C Cuthill and Richard Sherley. A Fully Automated Computer Vision System for the Biometric Identification of African Penguins (Spheniscus demersus) on Robben Island. In: 6th International Penguin Conference (IPC07), University of Tasmania, Australia, September 2007.
Peter Flach and Edson Takashi Matsubara. A Simple Lexicographic Ranker and Probability Estimator. In: 18th European Conference on Machine Learning, Joost N. Kok, Jacek Koronacki, Ramon Lopez de Mantaras, Stan Matwin, Dunja Mladenic and Andrzej Skowron, editors, pages 575--582. Springer, September 2007. External information on this paper. Acrobat:293786 bytes.
Shaomin Wu, Peter Flach and Cesar Ferri. An Improved Model Selection Heuristic for AUC. In: 18th European Conference on Machine Learning, Joost N. Kok, Jacek Koronacki, Ramon Lopez de Mantaras, Stan Matwin, Dunja Mladenic and Andrzej Skowron, editors, pages 478--489. Springer, September 2007. External information on this paper. Acrobat:336009 bytes.
Steve Gregory. An algorithm to find overlapping community structure in networks. In: Proceedings of the 11th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD 2007), pages 91--102. Springer-Verlag, September 2007. Acrobat:259615 bytes.
James Marshall and Nigel Franks. Computer modelling in behavioural and evolutionary ecology: whys and wherefores. In: Laubichler and Muller (eds.) Modelling Biology - Structures, Behaviors, Evolution, pages 335--354. MIT Press, September 2007.
Elisa Ricci, Tijl De Bie and Nello Cristianini. Discriminative Sequence Labeling by Z-Score Optimization. In: ECML 2007, pages 274--285. Springer, September 2007. This paper is not public, contact the author or log in.
Peter A. Flach. Putting Things in Order: On the Fundamental Role of Ranking in Classification and Probability Estimation (invited talk). In: 18th European Conference on Machine Learning and 11th European Conference on Principles and Practice of Knowledge Discovery in Databases, Joost N. Kok, Jacek Koronacki, Ramon Lopez de Mantaras, Stan Matwin, Dunja Mladenic and Andrzej Skowron, editors, pages 2--3. Springer, September 2007. External information on this paper. Acrobat:136795 bytes.
Rafal Bogacz, Marius Usher, Jiaxiang Zhang and James L. McClelland. Extending a biologically inspired model of choice: multi-alternatives, nonlinearity and value-based multidimensional choice. Philosophical Transactions of the Royal Society, Series B, volume 362: 1655--1670, August 2007. Acrobat:602755 bytes.
Elisa Ricci, Tijl De Bie and Nello Cristianini. Learning to Align: A Statistical Approach. In: IDA 2007, pages 25--36. Springer, August 2007. This paper is not public, contact the author or log in.
James Marshall, Gavin Brown and Tim Kovacs. Bayesian Estimation of Rule Accuracy in UCS. In: Proceedings of the 2007 GECCO Conference Companion on Genetic and Evolutionary Computation, pages 2831--2834. ACM Press, July 2007. Acrobat:114671 bytes.
Dalal Alrajeh, Oliver Ray, Alessandra Russo and Sebastian Uchitel. Extracting Requirements from scenarios with ILP. In: 16th International Conference on Inductive Logic Programming, S.H. Muggleton, R. Otero and A Tamaddoni Nezhad, editors, pages 63--77. Springer, July 2007. Acrobat:439123 bytes.
Rafal Bogacz. Optimal decision network with distributed representation. Neural Networks, volume 20: 564--576, July 2007.
Tim Kovacs and Larry Bull. Toward a better understanding of rule initialization and deletion. In: Workshop Proceedings of the Genetic and Evolutionary Computation Conference (GECCO), pages 2777--2780. ACM, July 2007. External information on this paper. Acrobat:421810 bytes.
Gavin Brown, Tim Kovacs and James Marshall. UCSpv: principled voting in UCS rule populations. In: Proceedings of the 2007 Genetic and Evolutionary Computation Conference (GECCO 2007), pages 1774--1781. ACM, July 2007. Acrobat:437868 bytes.
Dirk Thierens, Hans-Georg Beyer, Mauro Birattari, Josh Bongard, Jurgen Branke, John Andrew Clark, Dave Cliff, Clare Bates Congdon, Kalyanmoy Deb, Banjamin Doerr, Tim Kovacs and Sanjeev Kumar, editors. Proceedings of the 2007 Genetic and Evolutionary Compuation Conference (GECCO 2007) ,volume 1-2. ACM Press . July 2007.
Steve Gregory and Martha Paschali. A Prolog-based language for workflow programming. In: Proceedings of the 9th International Conference on Coordination Models and Languages (COORDINATION 2007), pages 56--75. Springer-Verlag, June 2007. Acrobat:113976 bytes.
Oliver Ray. Automated Abduction in Scientific Discovery. In: Model-Based Reasoning in Science and Medicine, pages 103--116. Springer, June 2007. Acrobat:259195 bytes.
Oliver Ray. Inferring process models from temporal data with abduction and induction. In: 1st International Workshop on the Induction of Process Models, June 2007. External information on this paper. Acrobat:95774 bytes.
Ksenia Shalonova and Peter Flach. Morphology learning using tree of aligned suffix rules. In: ICML Workshop on Challenges and Applications of Grammar Induction, June 2007. Acrobat:620542 bytes.
Ian Anderson, Julie Maitland, Scott Sherwood, Louise Barkhuus, Matthew Chalmers, Malcolm Hall, Barry Brown and Henk Muller. Shakra: Tracking and Sharing Daily Activity Levels with Unaugmented Mobile Phones. Mobile Networks and Applications, volume 12(2-3): 185--199, June 2007.
Rafal Bogacz, Samuel M. McClure, Jian Li, Jonathan D. Cohen and P. Read Montague. Short-term memory traces for action bias in human reinforcement learning. Brain Research, volume 1153: 111--121, June 2007. Acrobat:673589 bytes.
Artur S. d'Avila Garcez, Dov M. Gabbay, Oliver Ray and John. H. Woods. Abductive reasoning in neural-symbolic systems. TOPOI, volume 26(1): 37--49, April 2007. Acrobat:381245 bytes.
Tim Kovacs, Xavier LLora, Keiki Takadama, Pier Luca Lanzi, Wolfgang Stolzmann and Stewart W. Wilson, editors. Learning Classifier Systems. International Workshops, IWLCS 2003-2005, Revised Selected Papers ,volume 4399. Springer . April 2007. External information on this paper.
Tilo Burghardt and Neill Campbell. Individual Animal Identification using Visual Biometrics on Deformable Coat Patterns. In: 5th International Conference on Computer Vision Systems (ICVS07), DOI:10.2390, March 2007. External information on this paper. Acrobat:2382401 bytes.
Rafal Bogacz. Optimal decision making theories: linking neurobiology with behaviour. Trends in Cognitive Sciences, volume 11(3): 118--125, March 2007. External information on this paper. This paper is not public, contact the author or log in.
Steve Gregory and Martha Paschali. A Prolog-based language for workflow programming. Technical Report CSTR-07-001, University of Bristol, February 2007. Acrobat:174791 bytes.
Ksenia Shalonova and Peter Flach. Morphology Learning using tree of aligned suffix rules. In: ICML Workshop on Challenges and Applications of Grammar Induction, February 2007.
Rafal Bogacz and Kevin Gurney. The basal ganglia and cortex implement optimal decision making between alternative actions. Neural Computation, volume 19(2): 442--477, February 2007. Acrobat:266425 bytes.
Mulder N.J., Apweiler R., Attwood T.K., Bairoch A., Bateman A., Binns D., Bork P., Buillard V., Cerutti L., Copley R., Courcelle E., Das U., Daugherty L., Dibley M., Finn R., Fleischmann W., Gough J., Haft D., Hulo N., Hunter S., Kahn D., Kanapin A., Kejariwal A., Labarga A., Langendijk-Genevaux P.S., Lonsdale D., Lopez R., Letunic I., Madera M., Maslen J., McAnulla C., McDowell J., Mistry J., Mitchell A., Nikolskaya A.N., Orchard S., Orengo C., Petryszak R., Selengut J.D., Sigrist C.J., Thomas P.D., Valentin F., Wilson D., Wu C.H. and Yeats C.. New developments in the InterPro database. Nucl. Acids Res., volume 35: D224--D228, January 2007.
Wilson, D., Madera, M., Vogel, C., Chothia, C. and Gough J.. The SUPERFAMILY database in 2007: families and functions. Nucl. Acids Res., volume 35: 308--313, January 2007.
Nick Yeung, Rafal Bogacz, Clay B. Holroyd, Sander Nieuwenhuis and Jonathan D. Cohen. Theta phase-resetting and the error-related negativity. Psychophysiology, volume 44: 39--49, January 2007. Acrobat:431646 bytes.
Robert Planqué, Anna Dornhaus, Nigel R. Franks, Tim Kovacs and James Marshall. Weighting waiting in collective decision-making. Behavioral Ecology and Sociobiology, volume 61(3): 347--356, January 2007. External information on this paper.

2006

Julie Maitland, Scott Sherwood, Louise Barkhuus, Ian Anderson, Malcolm Hall, Barry Brown, Matthew Chalmers and Henk Muller. Increasing the Awareness of Daily Activity Levels with Pervasive Computing. In: 1st International Conference on Pervasive Computing Technologies for Healthcare 2006, IEEE, November 2006. This paper is not public, contact the author or log in.
Hsiou-Wen Hsueh and Kerstin Eder. Test Directive Generation for Functional Coverage Closure Using Inductive Logic Programming. In: IEEE International High Level Design Validation and Test Workshop (HLDVT) 2006, November 2006.
Ian Anderson and Henk Muller. Qualitative Positioning for Pervasive Environments. In: The Third International Conference on Mobile Computing and Ubiquitous Networking (ICMU 2006), pages 10--18. October 2006. Acrobat:292053 bytes.
Peter A. Flach. Reinventing Machine Learning with ROC Analysis (invited talk). In: Proceedings of the 10th Ibero-American Conference on AI and the 18th Brazilian AI Symposium, pages 4--5. Springer, October 2006. External information on this paper.
Rafal Bogacz, Eric Brown, Jeffrey Moehlis, Phil Holmes and Jonathan D. Cohen. The physics of optimal decision making: A formal analysis of models of performance in two-alternative forced choice tasks. Psychological Review, volume 113(4): 700--765, October 2006. Acrobat:1666962 bytes.
Lisa Gralewski, Neill Campbell, Edward Morrison and Ian Penton-Voak. Analysis of Facial Dynamics using a Tensor Framework. Journal of Multimedia, volume 1(6): 10--21, September 2006. Acrobat:827958 bytes.
Susanne Hoche, Ingolf Geist, Lourdes Pena Castillo and Nadine Schulz. Databases, Knowledge Discovery, Information Retrieval, and Web Mining. In: CIGR Handbook of Agricultural Engineering Volume VI Information Technology, Axel Murnack (Ed.), volume VI, pages 168--184. International Commission of Agricultural Engineering (CIGR) , September 2006. External information on this paper.
Micheal Weir, Anthony Buck and Jon Lewis. POTBUG: A Mind's Eye Approch to Providing BUG-Like Guarantees for Adaptive Obstacle Navigation Using Dynamic Potential Fields. In: From animals to animats 9: Proceedings of the Ninth International Conference on Simulation of Adaptive Behaviour, pages 239--250. Springer Verlag, September 2006. Acrobat:373338 bytes.
Susanne Hoche and Peter Flach. Predicting Topics of Scientific Papers from Co-Authorship Graphs: a Case Study. In: Proceedings ot the 2006 UK Workshop on Computational Intelligence (UKCI2006), pages 215--222. September 2006. Acrobat:434324 bytes.
Tilo Burghardt and Janko Calic. Real-time Face Detection and Tracking of Animals. In: IEEE 8th Seminar on Neural Network Applications in Electrical Engineering (NEUREL06), pages 27--32. September 2006. Acrobat:3996383 bytes.
Tim Kovacs, Xavier LLora and Keiki Takadama. The 9th International Workshop on Learning Classifier Systems (IWLCS-2006 Workshop Summary). SIGEVolution, volume 1(3): 31--33, September 2006. External information on this paper. Acrobat:2486869 bytes.
Peter Flach, Antonis Kakas and Oliver Ray. Abduction, induction, and the logic of scientific knowledge development. In: ECAI'06 workshop on Abduction and Induction in AI and Scientific Modelling, P.A. Flach, A.C. Kakas, L. Magnani and O. Ray, editors, pages 21--23. August 2006. External information on this paper. Acrobat:41464 bytes.
Oliver Ray, Athos Antoniades, Antonis Kakas and Ioannis Demetriades. Abductive Logic Programming in the Clinical Management of HIV/AIDS. In: 17th European Conference on Artificial Intelligence, G. Brewka, S.Coradeschi, A. Perini and P. Traverso, editors, pages 437--441. IOS Press, August 2006. Acrobat:78272 bytes.
Kerstin Eder, Peter Flach and Hsiou-Wen Hsueh. Towards Automating Simulation-Based Design Verification using ILP. In: 16th International Conference on Inductive Logic Programming, Stephen Muggleton, Ramon Otero and Alireza Tamaddoni-Nezhad, editors, pages 154--168. Springer, August 2006. External information on this paper. Acrobat:359664 bytes.
Oliver Ray and Artur Garcez. Towards the integration of abduction and induction in artificial neural networks. In: ECAI06 workshop on Neural-Symbolic Learning and Reasoning, A.Garcez, P. Hitzler and G. Tamburrini, editors, pages 41--46. August 2006. External information on this paper. Acrobat:217224 bytes.
Oliver Ray. Using abduction for induction of normal logic programs. In: ECAI'06 Workshop on Abduction and Induction in Artificial Intelligence and Scientific Modelling, P. Flach, A. Kakas, L. Magnani and O. Ray, editors, pages 28--31. August 2006. External information on this paper. Acrobat:83951 bytes.
James Marshall and Tim Kovacs. A Representational Ecology for Learning Classifier Systems. In: Proceedings of the 2006 Genetic and Evolutionary Computation Conference (GECCO 2006), pages 1529--1536. ACM, July 2006. This paper is not public, contact the author or log in.
Gough and J.. Genomic scale sub-family assignment of protein domains. Nucl. Acids Res., volume 34 (13): 3625--3633, July 2006.
Ian Anderson and Henk Muller. Practical Activity Recognition using GSM Data. Technical Report CSTR-06-016, Department of Computer Science, University of Bristol, July 2006. Acrobat:148487 bytes.
Tim Kovacs and Manfred Kerber. A study of structural and parametric learning in XCS. Evolutionary Computation, volume 14(1): 1--19, June 2006. Acrobat:367280 bytes.
Peter Flach, Valentina Maraldi and Fabrizio Riguzzi. Algorithms for Efficiently and Effectively Using Background Knowledge in Tertius . In: ``Analisi Sperimentale e Benchmark di Algoritmi per l'Intelligenza Artificiale'' (Incontro del Gruppo di Lavoro Rappresentazione della Conoscenza e Ragionamento Automatico dell'Associazione Italiana per l'Intelligenza Artificiale), Marco Gavanelli and Tony Mancini, editors, June 2006. External information on this paper. Acrobat:102889 bytes.
Tilo Burghardt and Janko Calic. Analysing Animal Behaviour in Wildlife Videos Using Face Detection and Tracking. IEE Proceedings - Vision, Image, and Signal Processing, volume 153(3): 305--312, June 2006. Acrobat:1118489 bytes.
Oliver Ray and Antonis Kakas. ProLogICA: a practical system for Abductive Logic Programming. In: 11th International Workshop on Non-monotonic Reasoning, J. Dix and A. Hunter, editors, pages 304--312. May 2006. External information on this paper. Acrobat:125295 bytes.
Babu, M. M., Priya, M. L., Selvan, A. T., Madera, M., Gough, J., Sankaran and K.. A database of bacterial lipoproteins (DOLOP) with functional assignments to predicted lipoproteins. J Bacteriol., volume 188 (8): 2761--2773, April 2006.
Vinogradov, S. N., Hoogewijs, D., Bailly, X., Arredondo-Peter, R., Gough, J., Dewilde, S., Moens, L., Vanfleteren and J. R.. A phylogenomic profile of globins. BMC Evol Biol., volume 6: 31--31, April 2006.
Peter Flach and Antonis Kakas. Abduction, Induction, and the Logic of Scientific Knowledge Development. In: Goedel Centenary 2006, Kurt Goedel Society, April 2006. External information on this paper. Acrobat:103513 bytes.
Liu, J., Gough, J., Rost and B.. Distinguishing Protein-Coding from Non_coding RNAs through Support Vector Machines. PLoS Genetics, volume 2 (4): 29--29, April 2006.
Tamas Horvath, Susanne Hoche and Stefan Wrobel. Effective rule induction from labeled graphs. In: Association for Computing Machinery: Proceedings of the ACM Symposium on Applied Computing : SAC 2006, April 23-27, 2006, Dijon, France, pages 611--616. ACM Press, New York, NY, April 2006. External information on this paper.
Robert Planque, James Marshall, Tim Kovacs, Francois-Xavier Dechaume-Moncharmont, Nigel R. Franks and Ana Sendova-Franks. It takes two to tango: the role of late recruitment in collective decision making. In: Proceedings of AISB'06: Adaptation in Artificial and Biological Systems, pages 207--207. The Society for the Study of Artificial Intelligence and the Simulation of Behaviour, April 2006. External information on this paper. Acrobat:34525 bytes.
James Marshall, Anna Dornhaus, Nigel Franks and Tim Kovacs. Noise, cost and speed-accuracy trade-offs: decision making in a decentralized system. Journal of the Royal Society: Interface, volume 3(7): 243--254, April 2006. External information on this paper. Acrobat:2125295 bytes.
Susanne Hoche, Jane Memott, Nick Monk and Andreas Nuernberger. Proc. of the Symposium on Network Analysis in Natural Sciences and Engineering, part of Adaptation in Artificial and Biological Systems (AISB'06), 2006.. pages 1--111. April 2006. Acrobat:4012875 bytes.
James Marshall, Rafal Bogacz, Anna Dornhaus, Nigel R. Franks, Tim Kovacs and Robert Planque. Similar Models of Optimal Decision Making in Social Insect Colonies and in the Primate Brain. In: Proceedings of AISB'06: Adaptation in Artificial and Biological Systems, pages 205--205. The Society for the Study of Artificial Intelligence and the Simulation of Behaviour, April 2006. External information on this paper. Acrobat:17215 bytes.
Maeda, N., Kasukawa, T., Oyama, R., Gough, J., Frith, M., Engstrom, P. G., Lenhard, B., Aturaliya, R. N., Batalov, S., Beisel, K. W., Bult, C. J., Fletcher, C. F., Forrest, A. R., Furuno, M., Hill, D., Itoh, M., Kanamori-Katayama, M., Katayama, S., Katoh, M., Kawashima, T., Quackenbush, J., Ravasi, T., Ring, B. Z., Shibata, K., Sugiura, K., Takenaka, Y., Teasdale, R. D., Wells, C. A., Zhu, Y., Kai, C., Kawai, J., Hume, D. A., Carninci, P., Hayashizaki and Y.. Transcript Annotation in FANTOM3: Mouse Gene Catalog Based on Physical cDNAs. PLoS Geneteics, volume 2 (4): 62--62, April 2006.
James Marshall and Tim Kovacs. Alternative Representations for Artificial Immune Systems. In: Proceedings of AISB'06: Adaptation in Artificial and Biological Systems, pages 9--10. The Society for the Study of Artificial Intelligence and the Simulation of Behaviour, March 2006. Acrobat:111764 bytes.
Jiaxiang Zhang and Rafal Bogacz. Optimal decision making with realistic bounds on neuronal activity. In: Computational Neuroscience Conference, March 2006. External information on this paper.
Tim Kovacs and James Marshall, editors. Proceedings of AISB'06: Adaptation in Artificial and Biological Systems ,volume 1-3. The Society for the Study of Artificial Intelligence and the Simulation of Behaviour . March 2006. External information on this paper.
Trevor Martin and Yun Shen. Improving Access to Multimedia Using Multi-source Hierarchical Meta-data. In: Adaptive Multimedia Retrieval: User, Context, and Feedback, volume LNCS3877, pages 266--278. Springer-Verlag, February 2006. External information on this paper.
Elias Gyftodimos. A Probabilistic Graphical Model Framework for Higher-Order Term-Based Representations. PhD Thesis, University of Bristol, January 2006. Acrobat:662467 bytes.
Colin Campbell. Identification of Prognostic Signtures in Breast Cancer Microarray Data using Bayesian Techniques. Journal of the Royal Society: Interface , January 2006. External information on this paper.

2005

Janko Calic, Neill Campbell, Stamatia Dasiopoulou and Yiannis Kompatsiaris. An Overview of Multimodal Video Representation for Semantic Analysis. In: European Workshop on the Integration of Knowledge, Semantics and Digital Media Technologies (EWIMT 2005), IEE, December 2005. Acrobat:382689 bytes.
Oliver Ray. Hybrid Abductive Inductive Learning. PhD Thesis, Department of Computing, Imperial College London, December 2005. Acrobat:1202985 bytes.
Janko Calic, Neill Campbell, Stamatia Dasiopoulou and Yiannis Kompatsiaris. A Survey on Multimodal Video Representation for Semantic Retrieval. In: the Third International Conference on `Computer as a tool' (Eurocon 2005), IEEE, November 2005. Acrobat:97153 bytes.
Ian Anderson and Henk Muller. Towards Qualitative Positioning for Pervasive Environments. In: the Third International Conference on `Computer as a tool' (Eurocon 2005), IEEE, November 2005. Acrobat:140368 bytes.
Phil Holmes, Eric Shea-Brown, Jeff Moehlis, Rafal Bogacz, Juan Gao, Gary Aston-Jones, Eric Clayton, Janusz Rajkowski and Jonathan D. Cohen. Optimal decisions: From neural spikes, through stochastic differential equations, to behavior. IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, volume 88(10): 2496--2503, October 2005. Acrobat:511587 bytes.
Oliver Ray. The need for Ancestor Resolution when answering queries in Horn clause logic. In: 21st International Conference on Logic Programming, M. Gabrielli and G. Gupta, editors, pages 410--411. Springer, October 2005. Acrobat:200732 bytes.
Walterio Mayol-Cuevas and David W. Murray. Wearable Hand Activity Recognition for Event Summarization. In: International Symposium on Wearable Computers, IEEE Computer Society, October 2005. Acrobat:576135 bytes.
Tilo Burghardt and Peter J Barham. Automated Visual Identification of Individual African Penguins. In: European EAZA Annual Conference 2005, pages 207--210. September 2005. External information on this paper.
Elias Gyftodimos and Peter A. Flach. Combining Bayesian Networks with Higher-Order Data Representations. In: Proceedings of the 6th International Symposium on Intelligent Data Analysis (IDA'06), pages 145--157. Springer-Verlag, September 2005. Acrobat:315955 bytes.
Ronaldo C. Prati and Peter A. Flach. ROCCER: an Algorithm for Rule Learning Based on ROC Analysis. In: Proceedings of the 19th International Joint Conference on Artificial Intelligence (IJCAI'05), pages 823--828. IJCAI, August 2005. External information on this paper. Acrobat:176604 bytes.
Peter A. Flach and Shaomin Wu. Repairing concavities in ROC curves. In: Proceedings of the 19th International Joint Conference on Artificial Intelligence (IJCAI'05), pages 702--707. IJCAI, August 2005. External information on this paper. Acrobat:504852 bytes.
Vinogradov, S. N., Hoogewijs, D., Bailly, X., Arrendondo-Peter, R., Guertin, M., Gough, J., Dewilde, S., Moens, L., Vanfleteren and J. R.. Three globin lineages belonging to two structural classes in genomes from the three kingdoms of life. Proc Natl Acad Sci USA, volume 102 (32): 11385--11389, August 2005.
Jonathan Lawry, G. Fu and J. W. Hall. A Granular Semantics for Fuzzy Measures and its Applications to Climate Change Scenarios. In: 4th International Symposium on Imprecise Probabilities and Their Applications, July 2005.
James Marshall. Collective action selection in social insect colonies. In: Bryson et al. (eds) Modelling Natural Action Selection: Proceedings of an International Workshop, pages 143--145. AISB Press, July 2005.
Zengchang Qin and Jonathan Lawry. Hybrid Bayesian estimation trees based on label semantics. In: Eighth European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, pages 896--907. Springer , July 2005.
Zengchang Qin and Jonathan Lawry. Linguistic rule induction based on a random set semantics. In: World Congress of International Fuzzy Systems Association (IFSA-05), July 2005.
Simon Rawles and Peter Flach. Neighbourhoods of examples for detecting logical redundancy. In: Late-breaking Papers from the 15th International Conference on Inductive Logic Programming (ILP'2005), Stefan Kramer and Bernhard Pfaringher, editors, pages 47--52. Institut fuer Informatik, Technische Universitaet Muenchen, Technical Report TUM-I0510, July 2005. Acrobat:33973 bytes.
Zengchang Qin and Jonathan Lawry. Prediction trees using linguistic modelling. In: World Congress of International Fuzzy Systems Association (IFSA-05), July 2005.
Zengchang Qin and Jonathan Lawry. Decision Tree Learning with Fuzzy Labels. Information Sciences, volume 172: 91--129, June 2005.
Larry Bull and Tim Kovacs. Foundations of Learning Classifier Systems: An Introduction. In: Foundations of Learning Classifier Systems, volume 183, pages 1--17. Springer, June 2005.
J.M. Rossiter and T.H. Cao . Fril++and Its Applications. In: Advances in Fuzzy Object-Orientated Database: Modelling and Applications, Z. Ma , editor, pages 113--151. Idea Group Inc, June 2005.
Peter Spellward and Tim Kovacs. On the contribution of gene libraries to artificial immune systems. In: Proceedings of the Genetic and Evolutionary Computation Conference, pages 313--319. ACM, June 2005.
Eric Brown, Juan Gao, Philip Holmes, Rafal Bogacz, Mark Gilzenrat and Jonathan D. Cohen. Simple neural networks that optimize decisions. International Journal of Bifurcation and Chaos, volume 15(3): 803--826, June 2005. Acrobat:619312 bytes.
Kerstin Eder and Hsiou-Wen Hsueh. Towards Inducing Stimulus Generation Directives from Functional Coverage Data. Technical Report CSTR-05-004, University of Bristol, June 2005.
Steve Cayzer, Jim Smith, James Marshall and Tim Kovacs. What have gene libraries done for AIS?. In: ICARIS 2005: Proceedings of the Fourth International Conference on Artificial Immune Systems, pages 86--99. Springer Verlag, June 2005. Acrobat:202613 bytes.
Larry Bull and Tim Kovacs, editors. Foundations of Learning Classifier Systems ,volume 183. Springer . June 2005. External information on this paper.
Susanne Hoche. Active Relational Rule Learning in a Constrained Confidence-Rated Boosting Framework . Tectum . June 2005. External information on this paper.
C.J. Burgess and M. Lefley. Can Genetic Programming improve Software Effort Estimation? A Comparative Evaluation. In: Machine Learning Applications In Software Engineering: Series on Software Engineering and Knowledge Engineering, Du Zhang and Jeffrey J.P. Tsai, editors, volume 16, pages 95--105. World Scientific Publishing Co., May 2005.
Gough and J.. Convergent evolution of domain architectures (is rare). Bioinformatics, volume 21 (8): 1464--1471, April 2005.
Carninci, P., Kasukawa, T., Katayama, S., Gough, J., Frith, M. C., Maeda, N., Oyama, R., Ravasi, T., Lenhard, B., Wells, C., Kodzius, R., Shimokawa, K., Bajic, V. B., Brenner, S. E., Batalov, S., Forrest, A. R., Zavolan, M., Davis, M. J., Wilming, L. G., Aidinis, V., Allen, J. E., Ambesi-Impiombato, A., Apweiler, R., Aturaliya, R. N., Bailey, T. L., Bansal, M., Baxter, L., Beisel, K. W., Bersano, T., Bono, H., Chalk, A. M., Chiu, K. P., Choudhary, V., Christoffels, A., Clutterbuck, D. R., Crowe, M. L., Dalla, E., Dalrymple, B. P., de, Bono, B., Della, Gatta, G., di, Bernardo, D., Down, T., Engstrom, P., Fagiolini, M., Faulkner, G., Fletcher, C. F., Fukushima, T., Furuno, M., Futaki, S., Gariboldi, M., Georgii-Hemming, P., Gingeras, T. R., Gojobori, T., Green, R. E., Gustincich, S., Harbers, M., Hayashi, Y., Hensch, T. K., Hirokawa, N., Hill, D., Huminiecki, L., Iacono, M., Ikeo, K., Iwama, A., Ishikawa, T., Jakt, M., Kanapin, A., Katoh, M., Kawasawa, Y., Kelso, J., Kitamura, H., Kitano, H., Kollias, G., Krishnan, S. P., Kruger, A., Kummerfeld, S. K., Kurochkin, I. V., Lareau, L. F., Lazarevic, D., Lipovich, L., Liu, J., Liuni, S., McWilliam, S., Madan, Babu, M., Madera, M., Marchionni, L., Matsuda, H., Matsuzawa, S., Miki, H., Mignone, F., Miyake, S., Morris, K., Mottagui-Tabar, S., Mulder, N., Nakano, N., Nakauchi, H., Ng, P., Nilsson, R., Nishiguchi, S., Nishikawa, S., Nori, F., Ohara, O., Okazaki, Y., Orlando, V., Pang, K. C., Pavan, W. J., Pavesi, G., Pesole, G., Petrovsky, N., Piazza, S., Reed, J., Reid, J. F., Ring, B. Z., Ringwald, M., Rost, B., Ruan, Y., Salzberg, S. L., Sandelin, A., Schneider and C. and. The Transcriptional Landscape of the Mammalian Genome. Science, volume 309 (5740): 1559--1563, April 2005.
Janko Calic, Neill Campbell, Andrew Calway, Majid Mirmehdi, Tilo Burghardt, Sion Hannuna, Changming Kong, Sarah Porter, Nishan Canagarajah and David Bull. Towards Intelligent Content Based Retrieval of Wildlife Videos. In: Proceedings of the 6th International Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS 2005), April 2005. Acrobat:283913 bytes.
Tom Fawcett and Peter A. Flach. A Response to Webb and Ting's On the Application of ROC Analysis to Predict Classification Performance Under Varying Class Distributions. Machine Learning, volume 58(1): 33--38, January 2005. Acrobat:66832 bytes.
Elias Gyftodimos and Peter A. Flach. Combining Bayesian Networks with Higher-Order Data Representations. In: Probabilistic, Logical and Relationial Learning - Towards a Synthesis, Dagstuhl Seminar Proceedings 05051: , January 2005. External information on this paper. Acrobat:126365 bytes.
. Discovering Transcriptional Modules from Motif, Chip-Chip and Microarray Data. In: Pacific Symposium on Biocomputing, January 2005. This paper is not public, contact the author or log in.
Mulder, N. J., Apweiler, R., Attwood, T. K., Bairoch, A., Bateman, A., Binns, D., Bradley, P., Bork, P., Bucher, P., Cerutti, L., Copley, R., Courcelle, E., Das, U., Durbin, R., Fleischmann, W., Gough, J., Haft, D., Harte, N., Hulo, N., Kahn, D., Kanapin, A., Krestyaninova, M., Lonsdale, D., Lopez, R., Letunic, I., Madera, M., Maslen, J., McDowall, J., Mitchell, A., Nikolskaya, A. N., Orchard, S., Pagni, M., Ponting, C. P., Quevillon, E., Selengut, J., Sigrist, C. J., Silventoinen, V., Studholme, D. J., Vaughan, R., Wu and C. H.. InterPro, progress and status in 2005. Nucl. Acids Res., volume 33: --201, January 2005.
Dongping Song, Jie Zhang, Jonathan Carter, Tony Field, James Marshall, John Polak, Kimberly Schumacher and John Woods. On cost-efficiency of the global container shipping network. Maritime Policy and Management, volume 32(1): 1--16, January 2005. External information on this paper.
Johannes Fuernkranz and Peter A. Flach. ROC 'n' Rule Learning -- Towards a Better Understanding of Covering Algorithms. Machine Learning, volume 58(1): 39--77, January 2005. Acrobat:426899 bytes.

2004

Susanne Hoche. Active Relational Rule Learning in a Constrained Confidence-Rated Boosting Framework. PhD Thesis, Rheinische Friedrich-Wilhelms-Universitaet Bonn, Germany, December 2004. Acrobat:1279434 bytes.
Thomas Gaertner, John W. Lloyd and Peter A. Flach. Kernels and Distances for Structured Data. Machine Learning, volume 57(3): 205--232, December 2004. Acrobat:240874 bytes.
Peter A. Flach and Nicolas Lachiche. Naive Bayesian Classification of Structured Data. Machine Learning, volume 57(3): 233--269, December 2004. Acrobat:271493 bytes.
Rafal Bogacz and Jonathan D. Cohen. Parameterization of connectionist models. Behavior Research Methods, Instruments, & Computers, volume 36(4): 732--741, December 2004. Acrobat:269121 bytes.
Nick Yeung, Rafal Bogacz, Clay B. Holroyd and Jonathan D. Cohen. Detection of synchronized oscillations in the electroencephalogram: An evaluation of methods. Psychophysiology, volume 41: 822--832, November 2004. Acrobat:1109020 bytes.
Oliver Ray, Krysia Broda and Alessandra Russo. Generalised Kernel Sets for Inverse Entailment. In: 20th International Conference on Logic Programming, Bart Demoen and Vladimir Lifschitz, editors, pages 165--179. Springer, November 2004. Acrobat:266400 bytes.
Simon Price. A review of the state of the art in Machine Learning on the Semantic Web. Technical Report, Department of Computer Science, University of Bristol, October 2004. Acrobat:231430 bytes.
Nada Lavrac, Bojan Cestnik, Dragan Gamberger and Peter Flach. Decision Support Through Subgroup Discovery: Three Case Studies and the Lessons Learned. Machine Learning, volume 57(1-2): 115--143, October 2004. External information on this paper. Acrobat:166964 bytes.
Tilo Burghardt, Janko Calic and Barry Thomas. Tracking Animals in Wildlife Videos Using Face Detection. In: European Workshop on the Integration of Knowledge, Semantics and Digital Media Technology, October 2004. Acrobat:1398348 bytes.
Oliver Ray, Krysia Broda and Alessandra Russo. A Hybrid Abductive Inductive Proof Procedure. Logic Journal of the IGPL, volume 12(5): 371--397, September 2004. Acrobat:358437 bytes.
Johannes Fuernkranz and Peter Flach. An Analysis of Stopping and Filtering Criteria for Rule Learning. In: Proceedings of the 15th European Conference on Machine Learning, pages 123--133. Springer-Verlag, September 2004. Acrobat:398394 bytes.
Tilo Burghardt, Barry Thomas, Peter J Barham and Janko Calic. Automated Visual Recognition of Individual African Penguins. In: Fifth International Penguin Conference, Ushuaia, Tierra del Fuego, Argentina, September 2004. Acrobat:3997562 bytes.
Gough and J.. Computational Genomics: Theory and Application. Grant and R., editors, pages 105--124. Horizon scientific press, September 2004.
Zengchang Qin and Tim Kovacs. Evolution of realistic hybrid auctions. In: Proceedings of the 2004 UK Workshop on Computational Intelligence (UKCI-04), pages 43--50. September 2004.
Jonathan Lawry, Dawei Han and Ian Cluckie. Fuzzy Rule Generation in Hydrological Modelling. In: Soft Methodology and Random Information Systems, pages 741--748. Springer, September 2004.
Zengchang Qin and Jonathan Lawry. ROC Analysis of a Linguistic Decision Tree Merging Algorithm. In: 2004 UK Computational Intelligence, pages 33--42. September 2004.
James Marshall and Simon Tokumine. See how she runs: towards visualising artificial red queen evolution. In: Artificial Life IX: Proceedings of the Ninth International Conference on Artificial Life, pages 334--339. MIT Press, September 2004.
Miguel Lopez-Diaz, Maria A Gil, Przemyslaw Grzegorzewski, Olgierd Hyrniewicz and Jonathan Lawry, editors. Soft Methodology and Random Information Systems . Springer . September 2004.
Zengchang Qin and Jonathan Lawry. A Tree-Structured Classification Model Based on Label Semantic. In: Information Processing and Management of Uncertainty (IPMU 04), July 2004.
Cesar Ferri, Peter Flach and Jose Hernandez-Orallo. Delegating Classifiers. In: Proceedings of the 21st International Conference on Machine Learning (ICML 2004), Russ Greineer and Dale Schuurmans, editors, ACM, July 2004. Acrobat:978143 bytes.
Jim W Hall and Jonathan Lawry. Generation, combination and extension of random set approximations to coherent lower and upper probabilities. Reliability Engineering and Systems Safety , volume 85(1-3): 89--101, July 2004.
Tim Kovacs and Manfred Kerber. High classification accuracy does not imply effective genetic search. In: Proceedings of the 2004 Genetic and Evolutionary Computation Conference (GECCO), LNCS Vol. 3102, pages 785--796. Springer, July 2004. Acrobat:320771 bytes.
Annalisa Appice, Michelangelo Ceci, Simon Rawles and Peter Flach. Redundant feature elimination for multi-class problems. In: Proceedings of the 21st International Conference on Machine Learning (ICML 2004), Russ Greiner and Dale Schuurmans, editors, pages 33--40. ACM, July 2004. Acrobat:1080868 bytes.
Nick Randon, Jonathan Lawry, Dawei Han and Ian Cluckie. River Flow Modelling Based on Fuzzy Labels. In: Information Processing and Management of Uncertainty (IPMU 04), July 2004.
J.M. Rossiter. The Rapid Elicitation of Knowledge About Images using Fuzzy Information Granules. In: Proceedings of the IEEE International Conference on Fuzzy sytems, Fuzz IEEE 2004, July 2004.
J. Lawry. A Framework for Linguistic Modelling. Artificial Intelligence, volume 155: 1--39, June 2004.
Ines Gonzalez, Jonathan Lawry and Jim Baldwin. Induction and Fusion of Fuzzy Prototypes. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, Vol. 12, No. 4 (2004) 409-446, volume 12(4): 409--446, June 2004.
Gough, J., Chothia and C.. The linked conservation of structure and function in a family of high diversity: the monomeric cupredoxins. Structure, volume 12: 917--925, June 2004.
Robert Perrons, James Marshall, Mike Stockman and Ken Platts. Assessing the value of trust in make-buy decisions for new technologies: an agent-based approach. In: Proceedings of the Fifth Workshop on Agent-Based Simulation, pages 62--66. SCS Europe BVBA, May 2004.
Elias Gyftodimos and Peter Flach. Hierarchical Bayesian Networks: An Approach to Classification and Learning for Structured Data.. In: Proceedings of Methods and Applications of Artificial Intelligence, Third Hellenic Conference on AI (SETN 2004), George A. Vouros and Themis Panayiotopoulos, editors, pages 291--300. Springer, May 2004. External information on this paper. Acrobat:226403 bytes.
Imran Ghory. Reinforcement Learning in Board Games. Technical Report CSTR-04-004, Department of Computer Science, University of Bristol, May 2004. Acrobat:1097439 bytes.
Tim Kovacs. Bibliography of Real-World Classifier Systems Applications. In: Applications of Learning Classifier Systems, volume 150, pages 300--305. Springer, April 2004. Acrobat:120629 bytes.
Tim Kovacs. Rule Fitness and Pathology in Learning Classifier Systems. Evolutionary Computation , volume 12(1): 99--135, March 2004. Acrobat:241540 bytes.
Nada Lavrac, Branko Kavsek, Peter Flach and Ljupco Todorovski. Subgroup discovery with CN2-SD. Journal of Machine Learning Research, volume 5(Feb): 153--188, February 2004. External information on this paper. Acrobat:374245 bytes.
Vogel, C., Berzuini, C., Bashton, M., Gough, J., Teichmann and S. A.. Supra-domains: Evolutionary units larger than single protein domains. J. Mol. Biol., volume 336: 809--823, February 2004.
Martin Butz, Tim Kovacs, Pier Luca Lanzi and Stewart W. Wilson. Toward a Theory of Generalization and Learning in XCS. IEEE Transactions on Evolutionary Computation, volume 8(1): 28--46, February 2004. Acrobat:953819 bytes.
Lanckriet GRG, Deng M, Nello Cristianini, Jordan MI and Noble WS. Kernel-Based Data Fusion and Its Application to Protein Function Prediction in Yeast. In: Biocomputing 2004, Proceedings of the Pacific Symposium, Hawaii, USA, pages 300--311. World Scientific , January 2004. This paper is not public, contact the author or log in.
Gert R. G. Lanckriet, Nello Cristianini, Peter Bartlett, Laurent El Ghaoui, Michael I. Jordan and Bernhard Scholkopf. Learning the Kernel Matrix with Semideflnite Programming. Journal of Machine Learning Research, volume 5: 27--72, January 2004. This paper is not public, contact the author or log in.
James Marshall. Review of "The Structure of Evolutionary Theory" by S. J. Gould. Artificial Life, volume 10(1): 113--115, January 2004.
Madera, M., Vogel, C., Kummerfeld, S.K., Chothia, C., Gough and J.. The SUPERFAMILY database in 2004: additions and improvements. Nucleic Acids Res., volume 32 (10): 235--239, January 2004.
Tim Kovacs. Strength or Accuracy: Credit Assignment in Learning Classifier Systems . Springer-Verlag . January 2004. External information on this paper.

2003

T. H. Cao and J. M. Rossiter. A Deductive Probabilistic and Fuzzy Object-Oriented Database Language. Fuzzy Sets and Systems, volume 140(1): 129--150, November 2003.
Susanne Hoche and Stefan Wrobel. A Comparative Evaluation of Feature Set Evolution Strategies for Multirelational Boosting. In: Proceedings of the 13th International Conference on Inductive Logic Programming, LNCS 2835, pages 180--196. Springer, October 2003. Acrobat:235770 bytes.
Mark-A. Krogel, Simon Rawles, Filip Zelezn�, Peter Flach, Nada Lavrač and Stefan Wrobel. Comparative evaluation of approaches to propositionalization. In: Proceedings of the 13th International Conference on Inductive Logic Programming (ILP'2003), Tamas Horvath and Akihiro Yamamoto, editors, pages 194--217. Springer-Verlag Heidelberg, October 2003. Acrobat:174227 bytes.
Gherardi, E., Youles, M. E., Miguel, R. N., Blundell, T. L., Iamele, L., Gough, J., Bandyopadhyay, A., Hartmann, G., Butler and P. J.. Functional map and domain structure of MET, the product of the c-met protooncogene and receptor for hepatocyte growth factor/scatter factor. Proc. Natl. Acad. Sci. U.S.A., volume 100 (21): 12039--12044, October 2003.
Oliver Ray, Krysia Broda and Alessandra Russo. Hybrid Abductive Inductive Learning: A Generalisation of Progol. In: 13th International Conference on Inductive Logic Programming, T. Horvath and A. Yamamoto, editors, pages 311--328. Springer, October 2003. Acrobat:283017 bytes.
Nick Randon and Jonathan Lawry. A New Linguistic Prediction Method Based on Random Set Semantics. In: 2003 UK Workshop on Computational Intelligence, pages 81--88. September 2003.
Jonathan Lawry and Jordi Recasens. A Random Set Model for Fuzzy Labels. In: Symbolic and Quantitative Approaches to Reasoning with Uncertainty, Springer, September 2003.
Simon Price. A Review of the State of the Art of Machine Learning on the Semantic Web. In: Proceedings of 2003 UK Workshop on Computational Intelligence, pages 292--299. University of Bristol, September 2003. Acrobat:122079 bytes.
Alexandre Temporel and Tim Kovacs. A heuristic hill climbing algorithm for mastermind. In: Proceedings of the 2003 UK Workshop on Computational Intelligence (UKCI-03), pages 189--196. University of Bristol, September 2003. Acrobat:111058 bytes.
Susanne Hoche, Tamas Horvath and Stefan Wrobel. Effective Rule Induction from Molecular Structures Represented by Labeled Graphs. In: Proceedings of the 1st International Workshop on Mining Graphs, Trees and Sequences (MGTS-2003), Cavtat-Dubrovnik, Croatia, September 2003. Acrobat:114419 bytes.
Tijl De Bie, Michinari Momma and Nello Cristianini. Efficiently Learning the Metric with Side-Information. In: ALT 2003, pages 175--189. Springer, September 2003. This paper is not public, contact the author or log in.
Elias Gyftodimos and Peter Flach. Hierarchical Bayesian Networks: an Approach to Classification and Learning for Structured Data. In: Proceedings of the ECML/PKDD - 2003 Workshop on Probablistic Graphical Models for Classification, pages 25--36. Ruder Boskovic Institute, Zagreb, Croatia, September 2003. Acrobat:74343 bytes.
Cesar Ferri, Peter A. Flach and Jose Hernandez-Orallo. Improving the AUC of Probabilistic Estimation Trees. In: Proceedings of the 14th European Conference on Machine Learning, pages 121--132. Springer-Verlag, September 2003. Acrobat:261350 bytes.
Elias Gyftodimos and Peter Flach. Learning Hierarchical Bayesian Networks for Human Skill Modelling. In: Proceedings of the 2003 UK Workshop on Computational Intalligence (UKCI-2003), Jonathan Rossiter and Trevor Martin, editors, pages 55--62. University of Bristol, September 2003. Acrobat:80211 bytes.
Zengchang Qin and Jonathan Lawry. Lingusitic Decision Tree Induction. In: 2003 UK Workshop on Computational Intelligence, pages 268--271. September 2003.
James Marshall and Jonathan Rowe. Viscous populations and their support for reciprocal cooperation. Artificial Life, volume 9(3): 327--334, September 2003.
Susanne Hoche and Stefan Wrobel. Towards feature selection for disk-based multirelational learners: a case study with a boosting algorithm.. In: Proceedings of the 2nd Workshop on Multi-Relational Data Mining (MRDM-2003), Washington, DC, USA, 2003, August 2003. Acrobat:165926 bytes.
Thomas Gaertner, Peter Flach and Stefan Wrobel. On Graph Kernels: Hardness Results and Efficient Alternatives. In: Proceedings of the 16th Annual Conference on Computational Learning Theory and 7th Kernel Workshop, pages 129--143. Springer-Verlag, August 2003. Acrobat:199998 bytes.
P.A. Flach and S. Wu. Repairing concavities in ROC curves. In: Proc. 2003 UK Workshop on Computational Intelligence, pages 38--44. University of Bristol, August 2003. Acrobat:315780 bytes.
James A. R. Marshall, Tim Kovacs, Anna R. Dornhaus and Nigel R. Franks. Simulating the evolution of ant behaviour in evaluating nest sites. In: Advances in Artificial Life - Proceedings of the 7th European Conference on Artificial Life (ECAL), pages 643--650. Springer-Verlag, August 2003. Acrobat:122665 bytes.
Oliver Ray. HAIL: Hybrid Abductive Inductive Learning. Technical Report, Department of Computing, Imperial College London, July 2003. Acrobat:1199613 bytes.
Ines Gonzalez, Jonathan Lawry and Jim Baldwin. A Hierarchical Linguistic Clustering Algorithm for Prototype Induction. In: Intelligent Systems for Information Processing, pages 303--314. Elsevier, June 2003.
Kasukawa, T., Furuno, M., Nikaido, I., Bono, H., Hume, D. A., Bult, C., Hill, D. P., Baldarelli, R., Gough, J., Kanapin, A., Matsuda, H., Schriml, L. M., Hayashizaki, Y., Okazaki, Y., Quackenbush and J.. Development and Evaluation of an Automated Annotation Pipeline and cDNA Annotation System. Genome Res., volume 13: 1542--1551, June 2003.
Chothia, C., Gough, J., Vogel, C., Teichmann and S. A.. Evolution of the protein repertoire. Science, volume 300 (5626): 1701--1703, June 2003.
Jim W Hall and Jonathan Lawry. Fuzzy Label Methods for Constructing Imprecise Limit State Functions. Structural Safety, volume 28: 317--341, June 2003.
Kanapin, A., Batalov, S., Davis, M. J., Gough, J., Grimmond, S., Kawaji, H., Magrane, M., Matsuda, H., Schonbach, C., Teasdale, R. D., Yuan and Z.. Mouse Proteome Analysis. Genome Res., volume 13: 1335--1344, June 2003.
Jonathan Lawry. Normalizing possibility distributions using t-norms. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, volume 11(3): 343--360, June 2003.
James Marshall. On the suitability of the 2 x 2 games for studying reciprocal cooperation and kin selection. Technical Report CSTR-05-006, University of Bristol, June 2003. External information on this paper.
Nick Randon and Jonathan Lawry. Probabilistic and Fuzzy methods for Information Fusion in Data Mining. Internation Journal of Intelligent Systems, volume 18: 609--631, June 2003.
Jonathan Lawry, Jimi Shanahan and Anca Ralescu, editors. Modelling with Words ,volume 2873. Springer . June 2003.
Proshun Sinha-Ray, Jonathan Carter, Tony Field, James Marshall, John Polak, Kimberly Schumacher, Dongping Song, John Woods and Jie Zhang. Container World: global agent-based modelling of the container transport business. In: Proceedings of the Fourth Workshop on Agent-Based Simulation, pages 161--165. SCS Europe BVBA, May 2003.
Rafal Bogacz and Malcolm W. Brown. Comparison of computational models of familiarity discrimination in the perirhinal cortex. Hippocampus, volume 13: 494--524, March 2003. Acrobat:626372 bytes.
James Marshall and Jonathan Rowe. Kin selection may inhibit the evolution of reciprocation. Journal of Theoretical Biology, volume 222(3): 331--335, March 2003.
Johannes Furnkranz and Peter Flach. An Analysis of Rule Learning Heuristics. Technical Report CSTR-03-002, Department of Computer Science, University of Bristol, February 2003. Acrobat:181528 bytes.
Ian Wright and James Marshall. The execution kernel of RC++: RETE*, a faster RETE with TREAT as a special case. International Journal of Intelligent Games and Simulation, volume 2(1): 36--48, February 2003. Acrobat:201917 bytes.
Tim Kovacs and Stuart I. Reynolds. A Proposal for Population-Based Reinforcement Learning. Technical Report CSTR-03-001, Department of Computer Science, University of Bristol, January 2003. Acrobat:188328 bytes.
J. Furnkranz and P.A. Flach. An analysis of rule evaluation metrics. In: Proc. 20th International Conference on Machine Learning (ICML'03), pages 202--209. AAAI Press, January 2003. External information on this paper. Acrobat:155787 bytes.
P.A. Flach, H. Blockeel, C. Ferri, J. Hernandez-Orallo and J. Struyf. Decision support for data mining: introduction to ROC analysis and its application. In: Data Mining and Decision Support: Aspects of Integration and Collaboration, pages 81--90. Kluwer Academic Publishers, January 2003. External information on this paper. Acrobat:106356 bytes.
J. M. Rossiter. Humanist Computing: Modelling with Words, Concepts, and Behaviours. Lecture Notes in Computer Science, volume 2873: 124--152, January 2003.
N. Lachiche and P.A. Flach. Improving accuracy and cost of two-class and multi-class probabilistic classifiers using ROC curves. In: Proc. 20th International Conference on Machine Learning (ICML'03), pages 416--423. AAAI Press, January 2003. External information on this paper. Acrobat:109448 bytes.
P.A. Flach, D. Mladenic, S. Moyle, S. Raeymaekers, J. Rauch, S. Rawles, R. Ribeiro, G. Sclep, J. Struyf, L. Todorovski, L. Torgo, H. Blockeel, D. Wettschereck, S. Wu, T. Gartner, M. Grobelnik, B. Kavsek, M. Kejkula, D. Krzywania, N. Lavrac and P. Ljubic. On the road to knowledge: mining 21 years of UK traffic accident reports. In: Data Mining and Decision Support: Aspects of Integration and Collaboration, pages 143--155. Kluwer Academic Publishers, January 2003. External information on this paper.
James Marshall. Review of "Conflicting Agents: Conflict Management in Multi-Agent Systems" by C. Tessier, L. Chaudron and H. J. Muller (eds.). Journal of Artificial Societies and Social Simulation, volume 8(4), January 2003.
P.A. Flach and N. Lavrac. Rule Induction. In: Intelligent Data Analysis: An Introduction, pages 229--267. Springer-Verlag, January 2003.
Tim Kovacs and Pier Luca Lanzi. The 2003 Learning Classifier Systems Bibliography. In: Learning Classifier Systems, volume LNCS 2661, pages 187--230. Springer, January 2003.
P.A. Flach. The geometry of ROC space: understanding machine learning metrics through ROC isometrics. In: Proc. 20th International Conference on Machine Learning (ICML'03), pages 194--201. AAAI Press, January 2003. External information on this paper. Acrobat:1079523 bytes.
Tim Kovacs. XCS's Strength-Based Twin. Part I. In: Learning Classifier Systems, volume LNCS 2661, pages 61--80. Springer, January 2003. Acrobat:485096 bytes.
Tim Kovacs. XCS's Strength-Based Twin. Part II. In: Learning Classifier Systems, volume LNCS 2661, pages 81--98. Springer, January 2003. Acrobat:382438 bytes.

2002

Nada Lavrac, Peter Flach, Brank Kavsek and Ljupco Todorovski. Adapting classification rule induction to subgroup discovery. In: Proceedings of the 2002 IEEE International Conference on Data Mining, V. Kumar et al. , editor, pages 266--273. IEEE Computer Society, December 2002.
Okazaki, Y., Furuno, M., Kasukawa, T., Adachi, J., Bono, H., Kondo, S., Nikaido, I., Osato, N., Saito, R., Suzuki, H., Yamanaka, I., Kiyosawa, H., Yagi, K., Tomaru, Y., Hasegawa, Y., Nogami, A., Schonbach, C., Gojobori, T., Baldarelli, R., Hill, D. P., Bult, C., Hume, D. A., Quackenbush, J., Schriml, L. M., Kanapin, A., Matsuda, H., Batalov, S., Beisel, K. W., Blake, J. A., Bradt, D., Brusic, V., Chothia, C., Corbani, L. E., Cousins, S., Dalla, E., Dragani, T. A., Fletcher, C. F., Forrest, A., Frazer, K. S., Gaasterland T., Gariboldi, M., Gissi, C., Godzik, A., Gough, J., Grimmond, S., Gustincich, S., Hirokawa, N., Jackson, I. J., Jarvis, E. D., Kanai, A., Kawaji, H., Kawasawa, Y., Kedzierski, R. M., King, B. L., Konagaya, A., Kurochkin, I. V., Lee, Y., Lenhard, B., Lyons, P. A., Maglott, D. R., Maltais, L., Marchionni, L., McKenzie, L., Miki, H., Nagashima, T., Numata, K., Okido, T., Pavan, W. J., Pertea, G., Pesole, G., Petrovsky, N., Pillai, R., Pontius, J. U., Qi, D., Ramachandran, S., Ravasi, T., Reed, J. C., Reed, D. J., Reid, J., Ring, B. Z., Ringwald, M., Sandelin, A., Schneider, C., Semple, C. A., Setou, M., Shimada, K., Sultana, R., Takenaka, Y., Taylor, M. S., Teasdale, R. D., Tomita, M., Verardo, R., Wagner, L., Wahlestedt, C., Wang, Y., Watanabe, Y., Wells, C., Wilming, L. G., Wynshaw-Boris, A., Yanagisawa, M., Yang, I., Yang, L., Yuan, Z., Zavolan, M., Zhu, Y., Zimmer, A., Carninci, P., Hayatsu, N., Hirozane-Kishikawa, T., Konno, H., Nakamura, M., Sakazume, N., Sato, K., Shiraki, T., Waki, K., Kawai, J., Aizawa, K., Arakawa, T., Fukuda, S., Hara, A., Hashizume, W., Imotani, K., Ishii and Y.. Analysis of the mouse transcriptome based on functional annotation of 60,770 full-length cDNAs. Nature, volume 420 (6915): 563--573, December 2002.
Gough and J.. The SUPERFAMILY database in structural genomics.. Acta Cryst., volume In press, November 2002.
Rafal Bogacz and Malcolm W. Brown. The restricted influence of sparseness of coding on the capacity of familiarity discrimination networks. Network: Computation in Neural System, volume 13: 457--485, November 2002. Acrobat:291496 bytes.
Madera, M., Gough and J.. A comparison of profile hidden Markov model procedures for remote homology detection . Nucl. Acids. Res., volume 30 (19): 4321--4328, October 2002.
Gough and J.. Hidden Markov models and their application to genome analysis in the context of protein structure. PhD Thesis, University of Cambridge, October 2002.
Jonathan Lawry. Label Prototypes for Data Analysis. In: 2002 UK Computational Intelligence Workshop, September 2002.
Y. Peng, P. A. Flach, P. Brazdil and C. Soares. Decision tree-based characterization for meta-learning. In: ECML/PKDD'02 workshop on Integration and Collaboration Aspects of Data Mining, Decision Support and Meta-Learning, M. Bohanec, B. Kasek, N. Lavrac and D. Mladenic, editors, pages 111--122. University of Helsinki, August 2002.
S. Wu and P. A. Flach. Feature selection with labelled and unlabelled data. In: ECML/PKDD'02 workshop on Integration and Collaboration Aspects of Data Mining, Decision Support and Meta-Learning, M. Bohanec, B. Kasek, N. Lavrac and D. Mladenic, editors, pages 156--167. University of Helsinki, August 2002.
S. Wu and P. A. Flach. Model selection for dynamic processes. In: ECML/PKDD'02 workshop on Integration and Collaboration Aspects of Data Mining, Decision Support and Meta-Learning, M. Bohanec, B. Kasek, N. Lavrac and D. Mladenic, editors, pages 168--173. University of Helsinki, August 2002.
N. Lavrac, P. A. Flach, B. Kasek and L. Todorovski. Rule induction for subgroup discovery with CN2-SD. In: ECML/PKDD'02 workshop on Integration and Collaboration Aspects of Data Mining, Decision Support and Meta-Learning, M. Bohanec, B. Kasek, N. Lavrac and D. Mladenic, editors, pages 77--87. University of Helsinki, August 2002.
Susanne Hoche and Stefan Wrobel. Scaling Boosting by Margin-based Inclusion of Features and Relations. In: Proceedings of the 13th European Conference on Machine Learning, LNCS 2430, pages 148--160. Springer, August 2002. Acrobat:175372 bytes.
Ines Gonzalez, Jonathan Lawry and Jim Baldwin. A Hierarchical Linguistic Clustering Algorithm for Prototype Induction. In: Information Processing and Management of Uncertainty (IPMU 04), July 2002.
N. Lachiche and P.A. Flach. 1BC2: a true first-order Bayesian classifier. In: Proceedings of the 12th International Conference on Inductive Logic Programming, pages 133--148. Springer-Verlag, July 2002. Acrobat:231672 bytes.
Elias Gyftodimos and Peter Flach. Hierarchical Bayesian Networks: A Probabilistic Reasoning Model for Structured Domains. In: Proceedings of the ICML-2002 Workshop on Development of Representations, Edwin de Jong and Tim Oates, editors, pages 23--30. The University of New South Wales, July 2002. Acrobat:184724 bytes.
Thomas Gaertner, John W. Lloyd and Peter A. Flach. Kernels for Structured Data. In: Proceedings of the 12th International Conference on Inductive Logic Programming�, pages 66--83. Springer-Verlag, July 2002. Acrobat:219190 bytes.
Cesar Ferri, Peter Flach and Jose Hernandez-Orallo. Learning Decision Trees Using the Area Under the ROC Curve. In: Proceedings of the 19th International Conference on Machine Learning, Claude Sammut and Achim Hoffmann, editors, pages 139--146. Morgan Kaufmann, July 2002. Acrobat:700588 bytes.
Nick Randon and Jonathan Lawry. Linguistic Modelling Using a Semi-Naive Bayes Framework. In: Information Processing and Management of Uncertainty, July 2002.
Thomas Gartner, Peter A. Flach, Adam Kowalczyk and Alex J. Smola. Multi-Instance Kernels. In: Proceedings of the 19th International Conference on Machine Learning, Claude Sammut and Achim Hoffmann, editors, pages 179--186. Morgan Kaufmann, July 2002.
Hua, S. J., Guo, T., Gough, J., Sun and Z. R.. Proteins with alpha/beta Fold Class Have High Participation in Fusion Events. J. Mol. Biol., volume 320 (4): 713--719, July 2002.
Nada Lavrac, Filip Zelezny and Peter A/ Flach. RSD: Relational Subgroup Discovery through First-Order Feature Construction. In: Proceedings of the 12th International Conference on Inductive Logic Programming, pages 149--165. Springer-Verlag, July 2002. Acrobat:232809 bytes.
Jim W Hall and Jonathan Lawry. Random and Fuzzy Set Reliability Analysis. In: 28'th Conference on Coastal Engineering, pages 2335--2347. World Scientific, July 2002.
T. Scheffer, S. Wrobel, B. Popov, D. Ognianov, C. Decomain and Susanne Hoche. Learning Hidden Markov Models for Information Extraction Actively from Partially Labeled Text. . Kuenstliche Intelligenz, Themenheft Textmining, volume 02, June 2002. Acrobat:276452 bytes.
Jonathan Lawry. A New Calculus for Linguistic Prototypes in Data Analysis. In: Soft Methods in Probability, Statistics, and Data Analysis , pages 116--125. Springer, June 2002.
Jardine, O., Gough, J., Chothia, C., Teichmann and T.. Comparison of the Small Molecule Metabolic Pathways of Escherichia coli and Saccharomyces cerevisiae. Genome Res., volume 12 (6): 916--929, June 2002.
Tim Kovacs. Learning Classifier Systems Resources. Journal of Soft Computing, volume 6 (3-4): 240--243, June 2002. Acrobat:135347 bytes.
Peter Flach and Nada Lavrac. Learning in Clausal Logic: A Perspective on Inductive Logic Programming. In: Computational Logic: Logic Programming and Beyond (Essays in Honour of Robert A. Kowalski), Antonis C. Kakas and Fariba Sadri, editors, volume LNAI 2407, pages 437--471. Springer-Verlag, June 2002. External information on this paper. Acrobat:374688 bytes.
Jonathan Lawry and Jordi Recasens. Normalizacion de Distribuciones Posibilisticas Mediante T-Normas. In: ESTYLF 2002 , June 2002.
Tim Kovacs. What should a classifier system learn and how should we measure it?. Journal of Soft Computing, volume 6 (3-4): 171--182, June 2002.
Tim Kovacs. Performance and Population State Metrics for Rule-based Learning Systems. In: Proceedings of the 2002 Congress on Evolutionary Computation (CEC), David Fogel, editor, pages 1781--1786. IEEE Press, May 2002. Acrobat:318514 bytes.
Tim Kovacs. Two Views of Classifier Systems. In: Advances in Learning Classifier Systems, P. L. Lanzi, W. Stolzmann and S. W. Wilson, editors, volume 2321, pages 74--87. Springer-Verlag, April 2002. Acrobat:206966 bytes.
Rafal Bogacz and Malcolm W. Brown. Capacity of perirhinal cortex network for recognising frequently repeating stimuli. Neurocomputing, volume 44-46: 337--342, February 2002. Acrobat:49056 bytes.
Tim Kovacs. Strength or Accuracy: Credit Assignment in Learning Classifier Systems. PhD Thesis, School of Computer Science. University of Birmingham, February 2002. External information on this paper.
Rong Yang and Steve Gregory. Exploiting Efficient Control and Data Structures in Logic Programs. In: Proceedings of the 4th International Symposium on Practical Aspects of Declarative Languages, PADL 2002, Portland, OR, January 19-20, 2002, pages 318--331. Springer-Verlag, January 2002. External information on this paper.
Y. Peng, P.A. Flach, C. Soares and P. Brazdil. Improved data set characterisation for meta-learning. In: Proc. 5th International Conference on Discovery Science (DS-02), pages 141--152. Springer-Verlag, January 2002. External information on this paper. Acrobat:118300 bytes.
Peter A. Flach. Modern Logic and its Role in the Study of Knowledge. In: A Companion to Philosophical Logic, Dale Jacquette, editor, pages 680--693. Blackwell Publishers, January 2002. Acrobat:265127 bytes.
Gough, J., Chothia and C.. SUPERFAMILY:HMMs representing all proteins of known structure.. Nucl. Acids Res., volume 30 (1): 268--272, January 2002.
T. Urbancic, M. Skrjanc and P.A. Flach. Web-based analysis of data mining and decision support education. AI Communications, volume 15: 199--204, January 2002. External information on this paper.

2001

Rong Yang and Steve Gregory. Andorra Model Revised: Introducing Nested Domain Variables and a Targeted Search. In: Proceedings of 8th International Conference on Logic for Programming, Artificial Intelligence, and Reasoning, LPAR 2001, Havana, December 3-7, 2001, pages 610--623. Springer-Verlag, December 2001. External information on this paper.
Colin J. Burgess and Martin Lefley. Can genetic programming improve software effort estimation? A comparative evaluation. Information and Software Technology, volume 43 (14): 863--873, December 2001.
Simon Price and Ian M. Marshall. Cost of Migrating Large-Scale Computer Assisted Learning (CAL) Software to Web Delivery. European Journal of Open and Distance Learning, volume 5(2), December 2001. External information on this paper.
Teichmann, S.A., Rison, S. C. G., Thornton, J. M., Riley, M., Gough, J., Chothia and C.. Small Molecule Metabolism: An Enzyme Mosaic. Trends Biotechnol., volume 19 (12): 482--486, December 2001.
Colin J. Burgess, Ilesh Dattani, Gordon Hughes and John H. R. May . Using Influence Diagrams to aid the Management of Software Change. Requirements Engineering, volume 6 (4): 175--182, December 2001.
Gough, J., Karplus, K., Hughey, R., Chothia and C.. Assignment of Homology to Genome Sequences Using a Library of Hidden Markov Models That Represent All Protein of Known Structure. J. Mol. Biol., volume 313 (4): 903--919, November 2001.
Nada Lavrac and Peter A. Flach. An extended transformation approach to inductive logic programming. ACM Transactions on Computational Logic, volume 2 (4): 458--494, October 2001. External information on this paper. Acrobat:309368 bytes.
Rafal Bogacz. Computational models of familiarity discrimination in the perirhinal cortex. PhD Thesis, Department of Computer Science, University of Bristol, October 2001. Acrobat:947595 bytes.
Thomas Gartner, Shaomin Wu and Peter A. Flach. Data Mining on the Sisyphus Dataset: Evaluation and Integration of Results. In: Integrating Aspects of Data Mining, Decision Support and Meta-Learning, Christophe Giraud-Carrier, Nada Lavrac and Steve Moyle, editors, pages 69--80. ECML/PKDD'01 workshop notes, September 2001. External information on this paper.
Peter Flach and Saso Dzeroski. Editorial: Inductive Logic Programming is Coming of Age. Machine Learning, volume 43 (3): 207--209, September 2001. External information on this paper. Acrobat:32351 bytes.
Ljupco Todorovski, Irene Weber, Nada Lavrac, Olga Stepankova, Saso Dzeroski, Dimitar Kazakov, Darko Zupanic and Peter Flach. Internet Resources on ILP for KDD. In: Relational Data Mining, Saso Dzeroski and Nada Lavrac, editors, pages 375--388. Springer-Verlag, September 2001. External information on this paper.
Jonathan Lawry. Label Semantics: A Formal Framework for Modelling with Words. In: Symbolic and Quantitative Approaches to Reasoning with Uncertainty, pages 374--384. Springer, September 2001.
Peter A. Flach. On the state of the art in machine learning: A personal review. Artificial Intelligence, volume 13 (1/2): 199--222, September 2001. External information on this paper. Acrobat:180240 bytes.
Stefan Kramer, Nada Lavrac and Peter Flach. Propositionalization Approaches to Relational Data Mining. In: Relational Data Mining, Saso Dzeroski and Nada Lavrac, editors, pages 262--291. Springer-Verlag, September 2001. External information on this paper.
Susanne Hoche and Stefan Wrobel. Relational Learning Using Constrained Confidence-Rated Boosting. In: Proceedings of the Eleventh International Conference on Inductive Logic Programming, LNAI 2157, pages 51--64. Springer, September 2001. Acrobat:164848 bytes.
Y. Peng and P. Flach. Soft Discretization to Enhance the Continuous Decision Tree Induction. In: Integrating Aspects of Data Mining, Decision Support and Meta-Learning, Christophe Giraud-Carrier, Nada Lavrac and Steve Moyle, editors, pages 109--118. ECML/PKDD'01 workshop notes, September 2001. External information on this paper.
Peter A. Flach and Dragan Gamberger. Subgroup evaluation and decision support for a direct mailing marketing problem. In: Integrating Aspects of Data Mining, Decision Support and Meta-Learning, Christophe Giraud-Carrier, Nada Lavrac and Steve Moyle, editors, pages 45--56. ECML/PKDD'01 workshop notes, September 2001. External information on this paper. Acrobat:114262 bytes.
Amelie Deltour. Tertius extension to Weka. Technical Report CSTR-01-001, Department of Computer Science, University of Bristol, September 2001. Acrobat:85816 bytes.
Teichmann, S. A., Rison, S. C., Thornton, J. M., Riley, M., Gough, J., Chothia and C.. The Evolution and Structural Anatomy of the Small Molecule Metabolic Pathways in Escherichia coli. J Mol Biol, volume 311 (4): 693--708, August 2001.
Tim Kovacs. Towards a Theory of Strong Overgeneral Classifiers. In: Foundations of Genetic Algorithms 6, Worthy Martin and William Spears, editors, pages 165--184. Morgan Kaufmann, August 2001. Acrobat:112597 bytes.
T. Troscianko, A. Holmes, J. Stillman, M. Mirmehdi and D. Wright. Will They Have A Fight? The Predictability of Natural Behaviour Viewed Thro ugh CCTV Cameras. In: European Conference on Visual Perception 2001, Perception Vol 30 Supple ment, pages 72--72. Pion Ltd, August 2001.
Apic, G., Gough, J., Teichmann and S. A.. Domain combinations in archaeal, eubacterial and eukaryotic proteomes. J Mol Biol., volume 310 (2): 311--325, July 2001.
Martin V. Butz, Tim Kovacs, Pier Luca Lanzi and Stewart W. Wilson. How XCS Evolves Accurate Classifiers. In: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001), Lee Spector et al. , editor, pages 927--934. Morgan Kaufmann, July 2001. Acrobat:289961 bytes.
Jonathan Lawry. An Alternative Approach to Computing with Words. International Journal of Uncertainty, Fuzziness and Knowledge Based Systems, volume 9(Suppl): 3--16, June 2001.
Rafal Bogacz, Malcolm W. Brown and Christophe Giraud-Carrier. Emergence of Motion-sensitive Neurons Properties by Learning Sparse Code for Natural Moving Images. In: Advances in Neural Information Processing Systems, Todd K. Leen, Thomas G. Dietterich and Volker Tresp, editors, volume 13, pages 838--844. MIT Press, June 2001. Acrobat:155870 bytes.
Jonathan Lawry. Possibilistic Normalisation and Reasoning Under Partial Inconsistency. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, volume 9(4): 413--436, June 2001.
Thomas Gaertner and Peter A. Flach. WBC_SVM: Weighted Bayesian Classification based on Support Vector Machines. In: Proceedings of the Eighteenth International Conference on Machine Learning, Carla E. Brodley and Andrea Pohoreckyj Danyluk, editors, pages 207--209. Morgan Kaufmann, June 2001. Acrobat:74123 bytes.
Tim Kovacs. What should a classifier system learn?. In: Proceedings of the 2001 Congress on Evolutionary Computation (CEC), Jong-Hwan Kim, editor, pages 775--782. IEEE Press, May 2001. Acrobat:115207 bytes.
Tim Kovacs and Pier Luca Lanzi. A Bigger Learning Classifier Systems Bibliography. In: Advances in Learning Classifier Systems, P. L. Lanzi, W. Stolzmann and S. W. Wilson, editors, volume 1996, pages 213--249. Springer-Verlag, April 2001. External information on this paper.
Apic, G., Gough, J., Teichmann and S. A.. An insight into domain combinations. Bioinformatics, volume 17 Suppl 1: 83--89, April 2001.
Tim Kovacs and Manfred Kerber. What Makes a Problem Hard for XCS?. In: Advances in Learning Classifier Systems, P. L. Lanzi, W. Stolzmann and S. W. Wilson, editors, volume 1996, pages 80--99. Springer-Verlag, April 2001. Acrobat:270154 bytes.
Konstantinos Veropoulos. Machine Learning Approaches to Medical Decision Making. PhD Thesis, Department of Computer Science, University of Bristol, March 2001. Acrobat:6380097 bytes.
Susanne Hoche. Possibilistic Belief Revision - Foundations and Implementation . Tectum . March 2001.
Simon Price and Ian M. Marshall. Cost of Migrating Large-Scale Computer Assisted Learning (CAL) Software to Web Delivery. In: 4th international workshop on Interactive Computer Aided Learning (ICL2001), Kassel University Press, February 2001. Acrobat:317644 bytes.
Rafal Bogacz, Malcolm W. Brown and Christophe Girraud-Carrier. Familiarity discrimination algorithm inspired by computations of the perirhinal cortex. In: Emergent Neural Computational Architectures based on Neuroscience, Stefan Wermter, Jim Austin and David Willshaw, editors, pages 435--448. Springer, February 2001. Acrobat:176122 bytes.
Rafal Bogacz, Malcolm W, Brown and Christophe Giraud-Carrier. Model of co-operation between recency, familiarity and novelty neurons in the perirhinal cortex. Neurocomputing, volume 38: 1121--1126, February 2001. Acrobat:128858 bytes.
Peter A. Flach and Nicolas Lachiche. Confirmation-Guided Discovery of First-Order Rules with Tertius. Machine Learning, volume 42 (1/2): 61--95, January 2001. Acrobat:150466 bytes.
Rafal Bogacz, Malcolm W. Brown and Christophe Giraud-Carrier. Model of Familiarity Discrimination in the Perirhinal Cortex. Journal of Computational Neuroscience, volume 10 (1): 5--23, January 2001. Acrobat:177194 bytes.

2000

Christophe Giraud-Carrier. A Note on the Utility of Incremental Learning. AI Communications, volume 13 (4): 215--223, December 2000. Acrobat:83462 bytes.
J. Shanahan, B. Thomas, M. Mirmehdi, T. Martin, N. Campbell and J. Baldwin. A Soft Computing Approach to Road Classification. Journal of Intelligent and Robotic Systems, volume 29 (4): 349--387, December 2000. External information on this paper.
Gough, J., Chothia, C., Karplus, K., Barrett, C., Hughey and R.. Currents in Computational Molecular Biology. Miyano, S., Shamir, R., Takagi and T., editors, pages 124--125. Universal Academy Press INC., December 2000.
Peter A. Flach. On the state of the art in Machine Learning: a personal review. Technical Report CSTR-00-018, Department of Computer Science, University of Bristol, December 2000. Acrobat:122610 bytes.
Iztok Savnik and Peter A. Flach. Discovery of multivalued dependencies from relations. Intelligent Data Analysis, volume 4 (3,4): 195--211, November 2000. Acrobat:281746 bytes.
Ian Wright and James Marshall. Egocentric AI processing for computer entertainment: a real-time process manager for games. In: Proceedings of the First International Conference on Intelligent Games and Simulation (GAME-ON 2000), SCS Europe BVBA, November 2000. Acrobat:176800 bytes.
Ian Wright and James Marshall. RC++: a rule-based language for game AI. In: Proceedings of the First International Conference on Intelligent Games and Simulation (GAME-ON 2000), SCS Europe BVBA, November 2000. Acrobat:115589 bytes.
Peter A. Flach. Logical characterisations of inductive learning. In: Handbook of defeasible reasoning and uncertainty management systems, Vol. 4: Abductive reasoning and learning, Dov M. Gabbay and Rudolf Kruse, editors, pages 155--196. Kluwer Academic Publishers, October 2000. Acrobat:521850 bytes.
Peter A. Flach and Antonis C. Kakas. On the relation between abduction and inductive learning. In: Handbook of defeasible reasoning and uncertainty management systems, Vol. 4: Abductive reasoning and learning, Dov M. Gabbay and Rudolf Kruse, editors, pages 1--33. Kluwer Academic Publishers, October 2000.
Nicolas Lachiche and Peter Flach. A First-order Representation for Knowledge Discovery and Bayesian Classification on Relational Data. In: PKDD2000 workshop on Data Mining, Decision Support, Meta-learning and ILP : Forum for Practical Problem Presentation and Prospective Solutions, Pavel Brazdil and Alipio Jorge, editors, pages 49--60. 4th International Conference on Principles of Data Mining and Knowledge Discovery, September 2000. Acrobat:45880 bytes.
Ahmed Guessoum and John P. Gallagher. Abductive reasoning with knowledge bases for context modelling. In: Abduction, Belief and Context in Dialogue, H. Bunt and W. Black, editors, pages 275--288. John Benjamins, September 2000.
Hilan Bensusan and Christophe Giraud-Carrier. Discovering task neighbourhoods through landmark learning performances. In: Proceedings of the 4th European Conference on Principles and Practice of Knowledge Discovery in Databases, D. Zighed, J. Komorowski and J. Zytkow, editors, pages 325--331. Springer, September 2000. Acrobat:131182 bytes.
Hilan Bensusan. Induction and reason: Cognitive tendencies under the tribunal of experience. In: Proceedings of the 23rd International Wittgenstein Symposium, pages 77--84. The Austrian Ludwig Wittgenstein Society, September 2000. Acrobat:93029 bytes.
Ljupco Todorovski, Peter Flach and Nada Lavrac. Predictive Performance of Weighted Relative Accuracy. In: 4th European Conference on Principles of Data Mining and Knowledge Discovery (PKDD2000), Djamel A. Zighed, Jan Komorowski and Jan Zytkow, editors, pages 255--264. Springer-Verlag, September 2000. External information on this paper. Acrobat:164103 bytes.
Peter A. Flach. The use of functional and logic languages in machine learning. In: Ninth International Workshop on Functional and Logic Programming (WFLP2000)�, Maria Alpuente, editor, pages 225--237. Universidad Politecnica de Valencia, September 2000. Acrobat:67359 bytes.
Majid Mirmehdi and Barry Thomas, editors. The Proceedings of the 11th Bristish Machine Vision Conference . BMVA Press . September 2000. External information on this paper.
Hilan Bensusan and Christophe Giraud-Carrier. Harmonia loosely praestabilita: discovering adequate inductive strategies. In: Proceedings of the 22nd Annual Meeting of the Cognitive Science Society, pages 609--614. Cognitive Science Society, August 2000. Acrobat:155863 bytes.
James Marshall and Jonathan Rowe. Investigating the mechanisms underlying cooperation in viscous population multi-agent systems. In: Proceedings of the Seventh International Conference on Artificial Life, pages 348--352. MIT Press, August 2000. Acrobat:116322 bytes.
Hilan Bensusan. Is machine learning experimental philosophy of science?. In: ECAI'2000 Workshop on Scientific Reasoning in AI and Philosophy of Science, pages 9--14. ECAI, August 2000. Acrobat:135969 bytes.
H. Barnum, H. J. Bernstein and L. Spector. Quantum circuits for OR and AND of OR's. Technical Report CSTR-00-014, Department of Computer Science, University of Bristol, August 2000. Acrobat:239256 bytes.
Peter A. Flach and Nicolas Lachiche. Decomposing probability distributions on structured individuals. In: Work-in-Progress Reports of the 10th International Conference on Inductive Logic Programming, James Cussens and Alan Frisch, editors, pages 96--106. ILP2000, July 2000. Acrobat:70409 bytes.
R Bogacz, MW Brown and C Giraud-Carrier. Frequency-based Error Back-propagation in a Cortical Network. In: Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, Vol. II, pages 211--216. IEEE Press, July 2000. Acrobat:57709 bytes.
Tim Kovacs and Manfred Kerber. Some dimensions of problem complexity for XCS. In: Proceedings of the GECCO-2000 Graduate Student Workshop, Annie S. Wu, editor, July 2000. External information on this paper.
Peter Flach and Antonis Kakas. The cycle of abductive and inductive knowledge development. In: Proceedings of the Machine Intelligence 17 workshop, K. Furukawa, S. Muggleton, D. Michie and L. De Raedt, editors, pages 17--24. Keio University, July 2000. Acrobat:42677 bytes.
Peter A. Flach and Nada Lavrac. The role of feature construction in inductive rule learning. In: Proceedings of the ICML2000 workshop on Attribute-Value and Relational Learning: crossing the boundaries, Luc De Raedt and Stefan Kramer, editors, pages 1--11. 17th International Conference on Machine Learning, July 2000. Acrobat:65301 bytes.
Tim Kovacs and Manfred Kerber. What makes a problem hard for XCS?. In: Proceedings of the Third International Workshop on Learning Classifier Systems (IWLCS-2000), in the Joint Workshops of SAB 2000 and PPSN 2000, Pier Luca Lanzi, Wolfgang Stolzmann and Stewart W. Wilson, editors, July 2000. External information on this paper.
Hilan Bensusan, Christophe Giraud-Carrier and Claire Kennedy. A higher-order approach to meta-learning. In: Proceedings of the ECML'2000 workshop on Meta-Learning: Building Automatic Advice Strategies for Model Selection and Method Combination, pages 109--117. ECML'2000, June 2000. Acrobat:175287 bytes.
Hilan Bensusan and Christophe Giraud-Carrier . Casa Batlo is in Passeig de Gracia or landmarking the expertise space. In: Proceedings of the ECML'2000 workshop on Meta-Learning: Building Automatic Advice Strategies for Model Selection and Method Combination, pages 29--47. ECML'2000, June 2000. Acrobat:190366 bytes.
A. F. Bowers, C. Giraud-Carrier and J. W. Lloyd. Classification of Individuals with Complex Structure. In: Proceedings of the Seventeenth International Conference on Machine Learning (ICML'2000), pages 81--88. Morgan Kaufmann, June 2000. Acrobat:133660 bytes.
Bernhard Pfahringer, Hilan Bensusan and Christophe Giraud-Carrier. Meta-learning by landmarking various learning algorithms. In: Proceedings of the Seventeenth International Conference on Machine Learning, ICML'2000, pages 743--750. Morgan Kaufmann, June 2000. Acrobat:146886 bytes.
Christophe Giraud-Carrier. Unifying Learning with Evolution Through Baldwinian Evolution and Lamarckism: A Case Study. In: Proceedings of the Symposium on Computational Intelligence and Learning (CoIL-2000), pages 36--41. MIT GmbH, June 2000. Acrobat:34259 bytes.
Hilan Bensusan, Christophe Giraud-Carrier and Bernhard Pfahringer. What works well tells us what works better.. In: Proceedings of ICML'2000 workshop on What Works Well Where, pages 1--8. ICML'2000, June 2000. Acrobat:130164 bytes.
Peter A. Flach and Nicolas Lachiche. Decomposing probability distributions on structured individuals. In: Proceedings of the ECML2000 workshop on Dealing with Structured Data in Machine Learning and Statistics, Paula Brito, Joaquim Costa and Donato Malerba, editors, pages 33--43. European Conference on Machine Learning, May 2000. Acrobat:69217 bytes.
Peter A. Flach and Antonis C. Kakas. Abductive and inductive reasoning: background and issues. In: Abduction and induction: essays on their relation and integration, Peter A. Flach and Antonis C. Kakas, editors, pages 1--27. Kluwer Academic Publishers, April 2000. External information on this paper.
Peter A. Flach. On the logic of hypothesis generation. In: Abduction and induction: essays on their relation and integration, Peter A. Flach and Antonis C. Kakas, editors, pages 89--106. Kluwer Academic Publishers, April 2000. External information on this paper.
Colin J. Burgess . Using Artificial Intelligence to solve problems in Software Quality Management. In: 8th International Conference on Software Quality Management(SQM2000), Software Quality Management VIII, pages 77--89. British Computer Society, April 2000.
Peter A. Flach and Antonis C. Kakas, editors. Abduction and Induction: Essays on their relation and integration . Kluwer Academic Publishers . April 2000. External information on this paper.
Tim Kovacs and Pier Luca Lanzi. A Learning Classifier Systems Bibliography. In: Learning Classifier Systems. From Foundations to Applications, P. L. Lanzi, W. Stolzmann and S. W. Wilson, editors, volume 1813, pages 321--347. Springer-Verlag, March 2000. External information on this paper.
Rafal Bogacz and Christophe Giraud-Carrier. A Novel Modular Neural Architecture for Rule-based and Similarity-based Reasoning. In: Hybrid Neural Systems, LNAI 1778, S. Wermter and R. Sun, editors, pages 63--77. Springer-Verlag, March 2000. Acrobat:234331 bytes.
Ljupco Todorovski, Peter Flach and Nada Lavrac. A report on experiments with weighted relative accuracy in CN2. Technical Report CSTR-00-003, Department of Computer Science, University of Bristol, March 2000. Acrobat:206656 bytes.
Nada Lavrac and Peter Flach. An extended transformation approach to Inductive Logic Programming. Technical Report CSTR-00-002, Department of Computer Science, University of Bristol, March 2000. Acrobat:169463 bytes.
Edward Ross. Intelligent User Interfaces: Survey and Research Directions. Technical Report CSTR-00-004, Department of Computer Science, University of Bristol, March 2000. Acrobat:211979 bytes.
Tim Kovacs. Strength or Accuracy? Fitness Calculation in Learning Classifier Systems. In: Learning Classifier Systems. From Foundations to Applications, P. L. Lanzi, W. Stolzmann and S. W. Wilson, editors, volume 1813, pages 143--160. Springer-Verlag, March 2000. Acrobat:206877 bytes.
C J Kennedy. Strongly Typed Evolutionary Programming. PhD Thesis, Department of Computer Science, University of Bristol, January 2000. Acrobat:831864 bytes.

1999

Rafal Bogacz, Urszula Markowska-Kaczmar and Andrzej Kozik. Blinking Artefact Recognition in EEG Signal by Neural Network. In: Proceedings of the Fourth Conference on Neural Networks and Their Applications, pages 502--507. Polish Neural Network Society, November 1999. Acrobat:76791 bytes.
Peter A. Flach and Iztok Savnik. Database dependency discovery: a machine learning approach. AI Communications, volume 12 (3): 139--160, November 1999. External information on this paper.
Simon Price. Managing Large Scale Multimedia Development Projects. In: Current Practice In Multimedia Education, Robin Bradbeer, editor, pages 1--17. City University of Hong Kong Press, October 1999.
R. Bogacz, M. W. Brown and C. Giraud-Carrier. High Capacity Neural Networks for Familiarity Discrimination. In: Proceedings of the Ninth International Conference on Artificial Neural Networks (ICANN99), pages 773--778. IEE, September 1999. Acrobat:65511 bytes.
R. MacKinney-Romero and C. Giraud-Carrier. Learning from Highly Structured Data by Decomposition. In: Proceedings of the Third European Conference on Principles of Data Mining and Knowledge Discovery (PKDD99), pages 436--441. Springer-Verlag, September 1999. Acrobat:153855 bytes.
Claire J. Kennedy, C. Giraud-Carrier and D. W. Bristol. Predicting Chemical Carcinogenesis Using Structural Information Only. In: Third European Conference on the Principles of Data Mining and Knowledge Discovery, pages 360--365. Springer, September 1999. Acrobat:143877 bytes.
J. Shanahan, B. Thomas, M. Mirmehdi, N. Campbell, T.Martin and J. Baldwin. Road Recognition using Fuzzy Classifiers. In: Proceedings of the 10th British Machine Vision Conference, pages 432--442. BMVA Press, September 1999. Acrobat:302819 bytes.
C. Giraud-Carrier, I. Dattani and S. Corley. Case Base Management through Induction. In: Proceedings of the IJCAI99 Workshop on Automating the Construction of Case Based Reasoners, pages 44--49. IJCAI99, August 1999. Acrobat:117324 bytes.
M. R. Everingham, B. T. Thomas and T. Troscianko. Head-mounted Mobility Aid for Low Vision using Scene Classification Techniques. The International Journal of Virtual Reality, volume 3 (4): 3--12, August 1999. Acrobat:495336 bytes.
C. J. Kennedy and C. Giraud-Carrier. A Depth Controlling Strategy for Strongly Typed Evolutionary Programming. In: GECCO 1999: Proceedings of the First Annual Conference, pages 1--6. Morgan Kauffman, July 1999. Acrobat:46350 bytes.
Hilan Bensusan. Automatic bias learning: An inquiry into the inductive basis of induction. PhD Thesis, School of Cognitive and Computing Sciences, University of Sussex, July 1999. Acrobat:1046118 bytes.
Tim Kovacs. Deletion Schemes for Classifier Systems. In: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 99), W. Banzhaf, J. Daida, A. E. Eiben, M. H. Garzon, V. Honavar, M. Jakiela and R. E. Smith, editors, pages 329--336. Morgan Kaufmann, July 1999. Acrobat:397014 bytes.
Peter A. Flach. Knowledge representation for inductive learning. In: Symbolic and Quantitative Approaches to Reasoning and Uncertainty (ECSQARU'99), Anthony Hunter and Simon Parsons, editors, pages 160--167. Springer-Verlag, July 1999. External information on this paper.
P. Flach and N. Lachiche. 1BC: A First-Order Bayesian Classifier. In: Ninth International Workshop on Inductive Logic Programming (ILP'99), S. Dzeroski and P. Flach, editors, pages 92--103. Springer-Verlag, June 1999. External information on this paper. Acrobat:586634 bytes.
N. Lavrac, P. Flach and B. Zupan. Rule Evaluation Measures: A Unifying View. In: Ninth International Workshop on Inductive Logic Programming (ILP'99), S. Dzeroski and P. Flach, editors, pages 174--185. Springer-Verlag, June 1999. External information on this paper. Acrobat:144497 bytes.
J. Shanahan, J. Baldwin, B. Thomas, T. Martin, N. Campbell and M. Mirmehdi. Transitioning from recognition to understanding in vision using additive cartesian granule feature models. In: Proceedings of the 18th International Conference of the North American Fuzzy Information Processing Society, pages 710--714. IEEE, June 1999. Acrobat:89192 bytes.
S. Dzeroski and P. Flach, editors. Proceedings of the Ninth International Workshop on Inductive Logic Programming (ILP'99) ,volume 1634. Springer-Verlag . June 1999. External information on this paper.
Claire J. Kennedy and Christophe Giraud-Carrier. An Evolutionary Approach to Concept Learning with Structured Data. In: Proceedings of the fourth International Conference on Artificial Neural Networks and Genetic Algorithms, pages 1--6. Springer Verlag, April 1999. Acrobat:33111 bytes.
D. Lock and C. Giraud-Carrier. Evolutionary Programming of Near-Optimal Neural Networks. In: Proceedings of the Fourth International Conference on Artificial Neural Networks and Genetic Algorithms (ICANNGA99), pages 302--306. Springer-Verlag, April 1999.
T. S. Dahl. Background Knowledge in the Tertius First Order Knowledge Discovery Tool . Technical Report CSTR-99-006, Department of Computer Science, University of Bristol, March 1999. Acrobat:111081 bytes.
C. J. Burgess, I. Dattani, G. Hughes, J. H. R. May and K. Rees. Using Influence Diagrams in Software Change Management. In: 7th International Conference on Software Quality Management (SQM'99), Software Quality Management VII, pages 177--187. Bristish Computer Society, March 1999. Acrobat:124775 bytes.
Peter A. Flach, Nada Lavrac and Blaz Zupan. Decompositions, dependencies, and Bayesian networks. Technical Report CSTR-99-001, Department of Computer Science, University of Bristol, February 1999. Acrobat:21392 bytes.
Colin J. Burgess and Alan G. Chalmers. Optimisation of irregular multiprocessor computer architectures using genetic algorithms. Annals of Operations Research, volume 86 (1999): 239--257, February 1999. Acrobat:215862 bytes.

1998

Peter Flach. From extensional to intensional knowledge: Inductive Logic Programming techniques and their application to deductive databases. In: Transactions and Change in Logic Databases, B. Freitag, H. Decker, M. Kifer and A. Voronkov, editors, volume LNCS 1472, pages 356--387. Springer-Verlag, December 1998. External information on this paper. Acrobat:462593 bytes.
M. E. J. Wood, N. W. Campbell and B. T. Thomas. Iterative Refinement by Relevance Feedback in Content-Based Digi tal Image Retrieval. In: ACM Multimedia 98, pages 13--20. ACM, September 1998. Acrobat:256371 bytes.
M R Everingham, B T Thomas, T Troscianko and D Easty. Neural-network virtual reality mobility aid for the severely visually impaired. In: Proceedings of the 2nd European Conference on Disability, Virtual Reality and Associated Technologies, pages 183--192. The University of Reading, September 1998. Acrobat:586165 bytes.
M Everingham, T Troscianko, B Thomas, N Karia and D Easty. A neural-network virtual-reality mobility aid for the severely visually impaired. In: European Conference on Visual Perception 1998, Perception Vol 27 Supplement, pages 14--14. Pion Ltd, August 1998.
T. S. Dahl. Eel, a Declarative Language for Programming Adaptive Agents. Technical Report CSTR-98-008, Department of Computer Science, University of Bristol, August 1998. Acrobat:67513 bytes.
Peter A. Flach and Antonis Kakas. Proceedings of the ECAI'98 Workshop on Abduction and Induction in AI Technical Report, August 1998. External information on this paper.
Peter A. Flach and Antonis Kakas. Abduction and Induction in AI: Report of the IJCAI�97 workshop. Logic Journal of the Interest Group on Pure and Applied Logic, volume 6 (4): 651--656, July 1998. External information on this paper.
Claire J. Kennedy. Evolutionary higher order concept learning. In: Late Breaking Papers at the Genetic Programming 1998 Conference, pages 113--113. Stanford University Bookstore, July 1998. Acrobat:7995 bytes.
P. A. Flach, C. Giraud-Carrier and J. W. Lloyd. Strongly Typed Inductive Concept Learning. In: 8th International Conference on Inductive Logic Programming (ILP-98), pages 185--194. LNAI 1446, Springer-Verlag, July 1998. External information on this paper.
Peter Flach. Comparing consequence relations. In: Principles of Knowledge Representation and Reasoning: Proceedings of the Sixth International Conference (KR'98), pages 180--189. Morgan Kaufmann, June 1998. Acrobat:72006 bytes.
Simon Price. Managing Large-scale Multimedia Development Projects. International Journal of Engineering Education, volume 14(6): 407--418, June 1998. External information on this paper. Acrobat:240282 bytes.
Peter Flach. The logic of learning: a brief introduction to Inductive Logic Programming. In: Proceedings of the CompulogNet Area Meeting on Computational Logic and Machine Learning, pages 1--17. University of Manchester, June 1998. Acrobat:72948 bytes.
I. Dattani and R. V. Magaldi. Case-Based Reasoning (CBR) and Machine Learning within the Aviation Domain. In: Proceedings of IASTED International Conference in Artificial Intelligence and Soft Computing, pages 415--419. The International Association of Science and Technology for Development - IASTED, May 1998.
Christophe Giraud-Carrier. Beyond Predictive Accuracy: What? . In: ECML'98 Workshop Notes - Upgrading Learning to the Meta-Level: Model Selection and Data Transformation, pages 78--85. Technical University of Chemnitz, April 1998. Acrobat:132534 bytes.
Hilan Bensusan. God doesn't always shave with Occam's Razor - learning when and how to prune. In: Proceedigs of the 10th European Conference on Machine Learning, pages 119--124. Springer, April 1998. Acrobat:132442 bytes.
Hilan Bensusan. Odd bites into bananas don't make you blind: learning about simplicity and attribute addition. In: Proceedings of the ECML'98 workshop on upgrading learning to the meta-level: model selection and data transformation, pages 30--42. ECML'98, April 1998.
Fotios Kokkoras and Steve Gregory. D-WMS: Distributed workforce management using CLP. In: Proceedings of the 4th International Conference on the Practical Application of Constraint Technology, pages 129--146. Practical Application Company Ltd., March 1998.
Christophe Giraud-Carrier and Stephen Corley. Inductive CBR for Customer Support. In: Proceedings of the Second International Conference on the Practical Application of Knowledge Discovery and Data Mining, pages 131--141. The Practical Application Company Ltd, March 1998. Acrobat:43557 bytes.
Rafal Bogacz and Christophe Giraud-Carrier. Learning Meta-Rules of Selection in Expert Systems. In: Proceedings of the Fourth World Congress on Expert Systems, pages 576--581. Cognizant Communication Corporation, March 1998. Acrobat:52250 bytes.

1997

Peter A. Flach and Nicolas Lachiche. Cooking up integrity constraints with PRIMUS (preliminary report). Technical Report CSTR-97-009, Department of Computer Science, University of Bristol, December 1997. Acrobat:69458 bytes.
Peter A. Flach. Inductive Logic Databases: from extensional to intensional knowledge. In: 5th International Conference on Deductive and Object-Oriented Databases (DOOD'97), F. Bry, R. Ramakrishnan and K. Ramamohanarao, editors, pages 3--3. Springer-Verlag, December 1997.
Rafal Bogacz and Christophe Giraud-Carrier. Supervised Competitive Learning for Finding Positions of Radial Basis Functions. In: Proceedings of the Third Conference on Neural Networks and Their Applications, pages 701--706. Polish Neural Networks Society, October 1997. Acrobat:50368 bytes.
A. F. Bowers, C. Giraud-Carrier, C. Kennedy, J. W. Lloyd and R. MacKinney-Romero. A Framework for Higher-Order Inductive Machine Learning. In: Proceedings of the COMPULOGNet Area Meeting on Representation Issues in reasoning and Learning, pages 19--25. University of Manchester, September 1997. Acrobat:155823 bytes.
Steve Gregory. A declarative approach to concurrent programming. In: Proceedings of the 9th International Symposium on Programming Languages: Implementations, Logics, and Programs, pages 79--93. Springer-Verlag, September 1997. External information on this paper.
Peter A. Flach and Antonis Kakas. Abductive and inductive reasoning: report of the ECAI'96 workshop. Logic Journal of the Interest Group on Pure and Applied Logic, volume 5 (5): 773--778, September 1997. External information on this paper.
Peter A. Flach. Normal forms for Inductive Logic Programming. In: Proceedings of the 7th International Workshop on Inductive Logic Programming, pages 149--156. Lecture Notes in Artificial Intelligence 1297, Springer-Verlag, September 1997. Acrobat:36532 bytes.
Peter A. Flach and Nada Lavrac. Proceedings of the CompulogNet Area Meeting on Representation issues in reasoning and learning. Technical Report CSTR-97-005, Department of Computer Science, University of Bristol, September 1997. External information on this paper.
Ian M. Marshall, Simon Price, Patricia I. Dugard and William B. Samson. Code-based analysis of the development effort of a large scale courseware project. Information and Software Technology, volume 9(8): 541--549, August 1997. External information on this paper. Acrobat:910626 bytes.
Peter A. Flach and Antonis Kakas. Proceedings of the IJCAI'97 workshop on Abduction and Induction in AI. Technical Report CSTR-97-004, Department of Computer Science, University of Bristol, August 1997. External information on this paper.
Tim Kovacs. XCS Classifier System Reliably Evolves Accurate, Complete, and Minimal Representations for Boolean Functions.. In: Soft Computing in Engineering Design and Manufacturing, Roy, Chawdhry and Pant, editors, pages 59--68. Springer-Verlag, August 1997. Acrobat:274932 bytes.
Christophe Giraud-Carrier and Mike Ward. Learning Customer Profiles to Generate Cash over the Internet. In: Proceedings of the Third International Workshop on Applications of Neural Networks to Telecommunications (IWANNT'97), pages 165--170. Lawrence Erlbaum Associates, Publishers, June 1997. Acrobat:108419 bytes.
Ben Burdsall and Christophe Giraud-Carrier. GA-RBF: A Self-Optimising RBF Network. In: Proceedings of the Third International Conference on Artificial Neural Networks and Genetic Algorithms (ICANNGA'97), pages 348--351. Springer-Verlag, April 1997. Acrobat:148288 bytes.
Ben Burdsall and Christophe Giraud-Carrier. Evolving Fuzzy Prototypes for Efficient Data Clustering. In: Proceedings of the Second International ICSC Symposium on Fuzzy Logic and Applications (ISFL'97), pages 217--223. ICSC Academic Press, February 1997. Acrobat:61536 bytes.
Peter A. Flach. Comparing consequence relations. In: Proceedings of the Third Dutch/German Workshop on Nonmonotonic Reasoning Techniques and their Applications, pages 130--138. Max-Planck-Institut fuer Informatik, January 1997.

1996

Christophe Giraud-Carrier. FLARE: Induction with Prior Knowledge. In: Research and Development in xpert Systems XIII (Proceedings of Expert Systems'96), pages 11--24. SGES Publications, December 1996. Acrobat:45465 bytes.
Simon Price. Structured Testing for Multimedia Authoring. In: European Conference on Software Testing Analysis and Reviews, RAI, Amsterdam, EuroSTAR, Staines, UK, December 1996.
Simon Price, Li Lin Cheah and Phil J. Hobbs. Software Quality Management in End-User Programming. In: Fourth International Conference on Software Quality Management, Queen's College, Cambridge, UK, pages 485--493. MEP, London, September 1996. Acrobat:453180 bytes.
Peter A. Flach. Abduction and induction: syllogistic and inferential perspectives. In: Proceedings of the ECAI'96 workshop on Abductive and Inductive Reasoning, Peter A. Flach and Antonis Kakas, editors, pages 31--35. 12th European Conference on Artificial Intelligence, August 1996. External information on this paper.
Peter A. Flach and Antonis Kakas. Proceedings of the ECAI'96 Workshop on Abductive and Inductive Reasoning Technical Report, August 1996. External information on this paper.
Rafal Bogacz. Knowledge database implemented as a neural network. In: Proceedings of the Second Conference on Neural Networks and Their Applications, pages 66--71. Polish Neural Network Society, April 1996. Acrobat:94568 bytes.
Kerstin Eder, Steffen Holldobler and Michael Thielscher. An Abstract Machine for Reasoning about Situations, Actions, and Causality. In: 5th International Workshop on Extensions of Logic Programming, Lecture Notes in Artificial Intelligence 1050, pages 137--151. Springer Verlag, March 1996. Acrobat:185535 bytes.
Steve Gregory. Derivation of concurrent algorithms in Tempo. In: Proceedings of the 5th International Workshop on Logic Program Synthesis and Transformation (Utrecht, September 1995), pages 46--60. Springer-Verlag, March 1996. External information on this paper.
Peter Flach. Rationality postulates for induction. In: Rationality and Knowledge: Proceedings of the Sixth Conference (TARK 1996), pages 267--281. Morgan Kaufmann, March 1996. Acrobat:49614 bytes.
C. J. Burgess and A. G. Chalmers. The Optimisation of Irregular Multiprocessor Computer Architectures using Genetic Algorithms. Technical Report CSTR-96-006, Department of Computer Science, University of Bristol, March 1996. Acrobat:143562 bytes.
C. J. Burgess and M. Saidi. The Automatic Generation of Test Cases for Optimising Fortran Compilers. Information and Software Technology, volume 38 (2): 111--119, February 1996.
Kish Shen and Steve Gregory . Instant Replay debugging of concurrent logic programs. New Generation Computing, volume 14 (1): 79--107, January 1996. External information on this paper.

1995

C. J. Burgess. A Genetic Algorithm for the Optimisation of a Multiprocessor Computer Architecture. Technical Report CSTR-95-024, Department of Computer Science, University of Bristol, December 1995. Acrobat:115530 bytes.
Christophe Giraud-Carrier and Tony Martinez. An Integrated Framework for Learning and Reasoning. Journal of Artificial Intelligence Research, volume 3 (1): 147--185, December 1995. Acrobat:345338 bytes.
C. J. Burgess. A Genetic Algorithm for the Optimisation of a Multiprocessor Computer Architecture. In: GALESIA95, 1st IEE/IEEE International Conference on Genetic Algorithms in Engieering Systems, pages 39--44. The Institution of Electrical Engineers, September 1995. Acrobat:97200 bytes.
C. J. Burgess. The Role of Formal Methods in Software Engineering Education and Industry . In: Proceedings of the 4th Software Quality Conference, pages 98--105. University of Abertay Dundee, July 1995. Acrobat:78677 bytes.
J. W. Lloyd. Declarative Programming in Escher. Technical Report CSTR-95-013, Department of Computer Science, University of Bristol, June 1995. Acrobat:467086 bytes.
Steve Gregory and Rafael Ramirez. Tempo: a declarative concurrent programming language. In: Proceedings of the 12th International Conference on Logic Programming, pages 515--529. MIT Press, June 1995. External information on this paper.
Kerstin Eder. A resource-oriented deductive approach towards hierarchical planning. PhD Thesis, Technische Universitat Dresden, Fakultat Informatik, May 1995. Acrobat:478360 bytes.
Christophe Giraud-Carrier and Tony Martinez. AA1*: A Dynamic Incremental Network that Learns by Discrimination. In: Proceedings of the Second International Conference on Artificial Neural Networks and Genetic Algorithms (ICANNGA'95), pages 45--48. Springer-Verlag, April 1995. Acrobat:109330 bytes.
Christophe Giraud-Carrier and Tony Martinez. Analysis of the Convergence and Generalization of AA1. Journal of Parallel and Distributed Computing, volume 26 (1): 125--131, April 1995. Acrobat:50961 bytes.
Peter Flach. Conjectures -- an inquiry concerning the logic of induction . Institute for Language Technology and Artificial Intelligence . April 1995. External information on this paper.
Christophe Giraud-Carrier and Tony Martinez. ILA: Combining Inductive Learning with Prior Knowledge and Reasoning. Technical Report CSTR-95-003, Department of Computer Science, University of Bristol, March 1995. Acrobat:82042 bytes.
Colin J. Burgess and Alan G. Chalmers. Optimum Transputer Configurations for Real Applications requiring Global Communications . In: WoTUG-18,The 18th Technical Meeting of the World Occam and Transputer User Group, pages 75--85. IOS Press, March 1995. Acrobat:120692 bytes.
C. J. Burgess. Software Quality Issues when choosing a Programming Language . In: Software Quality Management III Vol. 2, pages 25--31. Computational Mechanics Publications, March 1995. Acrobat:76290 bytes.
Christophe Giraud-Carrier and Tony Martinez. An Efficient Metric for Heterogeneous Inductive Learning Applications in the Attribute-Value Language. In: Intelligent Systems (Proceedings of GWIC'94), pages 341--350. Kluwer Academic Publishers, January 1995. Acrobat:49850 bytes.

1994

Christophe Giraud-Carrier and Tony Martinez. An Incremental Learning Model for Commonsense Reasoning. In: Proceedings of the Seventh International Symposium on Artificial Intelligence (ISAI'94), pages 134--141. ITESM, October 1994. Acrobat:52794 bytes.
Christophe Giraud-Carrier. A Reconfigurable Data Flow Machine for Implementing Functional Programming Languages. SIGPLAN Notices, volume 29 (9): 22--28, September 1994. Acrobat:39947 bytes.
C. J. Burgess. The Automated Generation of Test Cases for Compilers. Sofwtware testing, Verification and Reliability, volume 4 (2): 81--99, June 1994.
Christophe Giraud-Carrier and Tony Martinez. Seven Desirable Properties for Artificial Learning Systems. In: Proceedings of the Seventh Florida AI Research Symposium (FLAIRS'94), pages 16--20. Florida AI Research Society, May 1994. Acrobat:23463 bytes.
Peter Flach. Simply Logical . John Wiley . April 1994. External information on this paper.

1993

Christophe Giraud-Carrier and Tony Martinez. Using Precepts to Augment Training Set Learning. In: Proceedings of the First New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert systems (ANNES'93), pages 46--51. IEEE Computer Society Press, November 1993. Acrobat:40987 bytes.
Tony Martinez, Cory Barker and Christophe Giraud-Carrier. A Generalizing Adaptive Discriminant Network. In: Proceedings of the First World Congress on Neural Networks (WCNN'93), Vol. 1, pages 613--616. Lawrence Erlbaum Associates, September 1993. Acrobat:14394 bytes.
C. J. Burgess. Software testing using an automatic generator of test data. In: Software Quality Management, pages 541--556. Elsevier Science Publishers, March 1993.
Christophe Giraud-Carrier, Scott N. Woodfield and David W. Embley. State Nets: An Expressively Efficient Behavioral Model. In: Proceedings of the Twelfth Annual IEEE International Phoenix Conference on Computers and Communication (IPCCC'93), pages 571--577. IEEE Communications Society Press, March 1993. Acrobat:40926 bytes.

1991

P. A. Flach and R. A. Meersman, editors. Future directions in Artificial Intelligence . North-Holland . March 1991.