ILPnet2 library: L. De Raedt

ILP publications by L. De Raedt

This is a list of all publications in the ILPnet2 on-line library which are (co-)authored by L. De Raedt. The title of the article is a link to the full reference, including -- if provided by the author -- abstract and URL. It also allows easy access to related publications.

2002

S. D. Lee and L. De Raedt. Constraint Based Mining of First-Order Sequences in SeqLog. In Saso Dzeroski, Luc De Raedt, and Stefan Wrobel, editors, Proceedings of the First SIGKDD Workshop on Multi-Relational Data Mining (MRDM-2002), pages 80--96. University of Alberta, Edmonton, Canada, July 2002. More behind this link.

2001

Wim Van Laer and Luc De Raedt. How to Upgrade Propositional Learners to First Order Logic: A Case Study. In Saso Dzeroski and Nada Lavrac, editors, Relational Data Mining, pages 235--261. Springer-Verlag, September 2001. More behind this link.
Luc De Raedt, Hendrik Blockeel, Luc Dehaspe, and Wim Van Laer. Three Companions for Data Mining in First Order Logic. In Saso Dzeroski and Nada Lavrac, editors, Relational Data Mining, pages 105--139. Springer-Verlag, September 2001. More behind this link.
K. Kersting and L. De Raedt. Adaptive Bayesian Logic Programs. In Céline Rouveirol and Michèle Sebag, editors, Proceedings of the 11th International Conference on Inductive Logic Programming, volume 2157 of Lecture Notes in Artificial Intelligence, pages 104--117. Springer-Verlag, September 2001.
K. Kersting and L. De Raedt. Towards Combining Inductive Logic Programming with Bayesian Networks. In Céline Rouveirol and Michèle Sebag, editors, Proceedings of the 11th International Conference on Inductive Logic Programming, volume 2157 of Lecture Notes in Artificial Intelligence, pages 118--131. Springer-Verlag, September 2001.
Saso Dzeroski, Luc De Raedt, and Kurt Driessens. Relational Reinforcement Learning. Machine Learning, 43(1/2):5--52, April 2001.
Luc De Raedt, C. David Page, and Stefan Wrobel. Guest Editorial. Machine Learning, 43(1/2):5--6, April 2001.

2000

W. Van Laer and L. De Raedt. How to upgrade propositional learners to first order logic: a case study. Technical Report, Department of Computer Science, KULeuven, May 2000. More behind this link.
Luc De Raedt. A Logical Database Mining Query Language. In J. Cussens and A. Frisch, editors, Proceedings of the 10th International Conference on Inductive Logic Programming, volume 1866 of Lecture Notes in Artificial Intelligence, pages 78--92. Springer-Verlag, 2000.
Kristian Kersting and Luc De Raedt. Bayesian Logic Programs. In J. Cussens and A. Frisch, editors, Proceedings of the Work-in-Progress Track at the 10th International Conference on Inductive Logic Programming, pages 138--155, 2000. More behind this link.

1999

Hendrik Blockeel, Luc De Raedt, Nico Jacobs, and Bart Demoen. Scaling up inductive logic programming by learning from interpretations. Data Mining and Knowledge Discovery, 3(1):59--93, March 1999.
S. H. Nienhuys-Cheng, W. van Laer, and L. de Raedt. Substitutions and Refinement Operations for PCNF. Technical Report, Work Report 99-14, RIBES, Erasmus University Rotterdam, January 1999.
S.-H. Nienhuys-Cheng, W. Van Laer, J. Ramon, and L. De Raedt. Generalizing Refinement Operators to Learn Prenex Conjunctive Normal Forms. In S. Dzeroski and P. Flach, editors, Proceedings of the 9th International Workshop on Inductive Logic Programming, volume 1634 of Lecture Notes in Artificial Intelligence, pages 245--256. Springer-Verlag, 1999.
J. Ramon and L. De Raedt. Instance Based Function Learning. In S. Dzeroski and P. Flach, editors, Proceedings of the 9th International Workshop on Inductive Logic Programming, volume 1634 of Lecture Notes in Artificial Intelligence, pages 268--278. Springer-Verlag, 1999.

1998

Wim Van Laer and Luc De Raedt. A methodology for first order learning : a case study. In F. Verdenius and W. van den Broek, editors, Eighth Belgian-Dutch Conference on Machine Learning, pages 105--113. ATO-DLO, November 1998.
Nico Jacobs, Kurt Driessens, and Luc De Raedt. Inductive verification and validation of multi agents systems. In Workshop on Validation and Verification of Knowledge Based Systems, pages 10--18, August 1998.
Hendrik Blockeel, Luc De Raedt, and Jan Ramon. Top-down induction of clustering trees. In J. Shavlik, editor, Proceedings of the 15th International Conference on Machine Learning, pages 55--63. Morgan Kaufmann, July 1998.
Hendrik Blockeel and Luc De Raedt. Top-down Induction of First Order Logical Decision Trees. Artificial Intelligence, 101(1-2):285--297, June 1998.
Kurt Driessens, Nico Jacobs, N. Cossement, P. Monsieurs, and Luc De Raedt. Inductive verification and validation of the KULRot RoboCup team. In Second RoboCup Workshop, pages 135--150, May 1998.
S. Dzeroski, L. De Raedt, and H. Blockeel. Relational Reinforcement Learning. In D. Page, editor, Proceedings of the 8th International Conference on Inductive Logic Programming, volume 1446 of Lecture Notes in Artificial Intelligence, pages 11--22. Springer-Verlag, 1998.
N. Jacobs, K. Driessens, and L. De Raedt. Using ILP Systems for Verification and Validation of Multi-Agent Systems. In D. Page, editor, Proceedings of the 8th International Conference on Inductive Logic Programming, volume 1446 of Lecture Notes in Artificial Intelligence, pages 145--154. Springer-Verlag, 1998.
L. De Raedt. Attribute Value Learning versus Inductive Logic Programming: The Missing Links (Extended Abstract). In D. Page, editor, Proceedings of the 8th International Conference on Inductive Logic Programming, volume 1446 of Lecture Notes in Artificial Intelligence, pages 1--8. Springer-Verlag, 1998.
Hendrik Blockeel and Luc De Raedt. IsIdd: An Interactive System for Inductive Database Design. Applied Artificial Intelligence, 12(5):385--420, July-August 1998. Special Issue on First-Order Knowledge Discovery in Databases

1997

H. Blockeel and L. De Raedt. Lookahead and Discretization in ILP. In S. Dzeroski and N. Lavrac, editors, Proceedings of the 7th International Workshop on Inductive Logic Programming, volume 1297 of Lecture Notes in Artificial Intelligence, pages 77--84. Springer-Verlag, 1997.
L. Dehaspe and L. De Raedt. Mining Association Rules in Multiple Relations. In S. Dzeroski and N. Lavrac, editors, Proceedings of the 7th International Workshop on Inductive Logic Programming, volume 1297 of Lecture Notes in Artificial Intelligence, pages 125--132. Springer-Verlag, 1997.
L. De Raedt and H. Blockeel. Using Logical Decision Trees for Clustering. In S. Dzeroski and N. Lavrac, editors, Proceedings of the 7th International Workshop on Inductive Logic Programming, volume 1297 of Lecture Notes in Artificial Intelligence, pages 133--140. Springer-Verlag, 1997.

1996

E. Van Baelen and L. De Raedt. Analysis and prediction of piano performances using Inductive Logic Programming. In S. Muggleton, editor, Proceedings of the 6th International Workshop on Inductive Logic Programming, volume 1314 of Lecture Notes in Artificial Intelligence, pages 55--71. Springer-Verlag, 1996.
H. Blockeel and L. De Raedt. Relational knowledge discovery in databases. In S. Muggleton, editor, Proceedings of the 6th International Workshop on Inductive Logic Programming, volume 1314 of Lecture Notes in Artificial Intelligence, pages 199--211. Springer-Verlag, 1996.
H. Blockeel and L. De Raedt. Inductive Database Design. In Proceedings of the 10th International Symposium on Methodologies for Intelligent Systems, volume 1079 of Lecture Notes in Artificial Intelligence, pages 376--385. Springer-Verlag, 1996.
H. Blockeel and L. De Raedt. Relational Knowledge Discovery in Databases. In Proceedings of the MLnet Familiarization Workshop on Data Mining with Inductive Logic Programing, pages 111--124, 1996.
L. Dehaspe and L. De Raedt. DLAB: A Declarative Language Bias Formalism. In Proceedings of the 10th International Symposium on Methodologies for Intelligent Systems, volume 1079 of Lecture Notes in Artificial Intelligence, pages 613--622. Springer-Verlag, 1996.
W. Van Laer, S. Dzeroski, and L. De Raedt. Multi-class problems and discretization in ICL. In Proceedings of the MLnet Familiarization Workshop on Data Mining with Inductive Logic Programing, pages 53--60, 1996.
L. De Raedt. PAC-learning logic programs under the closed world assumption. In Proceedings of the 10th International Symposium on Methodologies for Intelligent Systems, volume 1079 of Lecture Notes in Artificial Intelligence, pages 531--540. Springer-Verlag, 1996.
L. De Raedt. Induction in Logic. In Proceedings of the 3nd International Workshop on Multistrategy Learning, pages 29--38. AAAI Press, 1996.
L. De Raedt, editor. Advances in Inductive Logic Programming. IOS Press, 1996.
L. De Raedt. The Inductive Logic Programming Project. In L. De Raedt, editor, Advances in Inductive Logic Programming, pages 3--13. IOS Press, 1996.
L. De Raedt and L. Dehaspe. Clausal discovery. Machine Learning, 1996. (To appear)
L. De Raedt and N. Lavrac. Multiple Predicate Learning in two Inductive Logic Programming Settings. Journal on Pure and Applied Logic, 4(2):227--254, 1996.

1995

H. Adé, L. De Raedt, and M. Bruynooghe. Declarative Bias for Specific-to-General ILP Systems. Machine Learning, 20(1/2):119--154, 1995.
L. Dehaspe, H. Blockeel, and L. De Raedt. Induction, Logic and Natural Language Processing. In Proceedings of the joint ELSNET/COMPULOG-NET/EAGLES Workshop on Computational Logic for Natural Language Processing, 1995.
L. Dehaspe and L. De Raedt. Parallel Inductive Logic Programming. In Proceedings of the MLnet Familiarization Workshop on Statistics, Machine Learning and Knowledge Discovery in Databases, 1995.
N. Lavrac and L. De Raedt. Inductive logic programming: A survey of European research. AI Communications, 8(1):3--19, 1995.
L. De Raedt. Inductive Logic Programming and Scientific Discovery. Academia Analecta, 57(2):101--128, 1995.
L. De Raedt and W. Van Laer. Inductive constraint logic. In Proceedings of the 6th Conference on Algorithmic Learning Theory, volume 997 of Lecture Notes in Artificial Intelligence. Springer-Verlag, 1995.

1994

H. Adé, B. Malfait, and L. De Raedt. RUTH: An ILP Theory Revision System. In Proceedings of the 8th International Symposium on Methodologies for Intelligent Systems, volume 869 of Lecture Notes in Artificial Intelligence, pages 336--345. Springer-Verlag, 1994.
H. Adé, B. Malfait, and L. De Raedt. RUTH: An ILP approach to Theory Revision. In Proceedings of the 4th Belgian-Dutch Conference on Machine Learning, pages 64--74, 1994.
L. Dehaspe, W. Van Laer, and L. De Raedt. Applications of a logical discovery engine. In S. Wrobel, editor, Proceedings of the 4th International Workshop on Inductive Logic Programming, volume 237 of GMD-Studien, pages 291--304. Gesellschaft für Mathematik und Datenverarbeitung MBH, 1994.
L. Dehaspe, L. De Raedt, and W. Van Laer. CLAUDIEN: User's manual. Technical Report, Department of Computer Science, Katholieke Universiteit Leuven, 1994.
W. Van Laer, L. Dehaspe, and L. De Raedt. Applications of a logical discovery engine. In Proceedings of the AAAI Workshop on Knowledge Discovery in Databases, pages 263--274, 1994.
S. Muggleton and L. De Raedt. Inductive Logic Programming: Theory and Methods. Journal of Logic Programming, 19/20:629--679, 1994.
L. De Raedt and M. Bruynooghe. Interactive Theory Revision. In R.S. Michalski and G. Tecuci, editors, Machine Learning: A Multistrategy Approach, volume 4. Morgan Kaufmann, 1994.
L. De Raedt and S. Dzeroski. First Order $jk$-Clausal Theories are PAC-Learnable. Artificial Intelligence, 70:375--392, 1994.
L. De Raedt and S. Dzeroski. First-order jk-clausal Theories are PAC-Learnable. In S. Wrobel, editor, Proceedings of the 4th International Workshop on Inductive Logic Programming, volume 237 of GMD-Studien, pages 49--50. Gesellschaft für Mathematik und Datenverarbeitung MBH, 1994. (Abstract)
G. Sablon, L. De Raedt, and M. Bruynooghe. Iterative Versionspaces. Artificial Intelligence, 69, 1994.

1993

H. Adé, L. De Raedt, and M. Bruynooghe. Theory revision. In S. Muggleton, editor, Proceedings of the 3rd International Workshop on Inductive Logic Programming, pages 179--192. J. Stefan Institute, 1993.
H. Adé, L. De Raedt, and M. Bruynooghe. Révision de Théorie: Approche logique. In Actes des Journées Francophones sur l'Apprentissage, 1993.
W. Van Laer and L. De Raedt. Discovering quantitative laws in inductive logic programming. In Proceedings of the Familiarization Workshop of the ESPRIT Network of Excellence on Machine Learning, pages 8--11, 1993. (Extended abstract)
L. De Raedt. A brief introduction to inductive logic programming. In D. Miller, editor, Proceedings of the 7th International Symposium on Logic Programming, pages 45--51. The MIT Press, 1993.
L. De Raedt, E. Bleken, V. Coget, C. Ghil, B. Swennen, and M. Bruynooghe. Learning to survive. In Proceedings of the 2nd International Workshop on Multistrategy Learning, pages 92--106, 1993.
L. De Raedt and M. Bruynooghe. A Theory of Clausal Discovery. In R. Bajcsy, editor, Proceedings of the 13th International Joint Conference on Artificial Intelligence, pages 1058--1063. Morgan Kaufmann, 1993.
L. De Raedt and M. Bruynooghe. A theory of clausal discovery. In S. Muggleton, editor, Proceedings of the 3rd International Workshop on Inductive Logic Programming, pages 25--40. J. Stefan Institute, 1993.
L. De Raedt and N. Lavrac. The many faces of inductive logic programming. In J. Komorowski and Z.W. Raś, editors, Proceedings of the 7th International Symposium on Methodologies for Intelligent Systems, volume 689 of Lecture Notes in Artificial Intelligence, pages 435--449. Springer-Verlag, 1993. (Invited paper)
L. De Raedt, N. Lavrac, and S. Dzeroski. Multiple Predicate Learning. In R. Bajcsy, editor, Proceedings of the 13th International Joint Conference on Artificial Intelligence, pages 1037--1043. Morgan Kaufmann, 1993.
L. De Raedt, N. Lavrac, and S. Dzeroski. Multiple predicate learning. In S. Muggleton, editor, Proceedings of the 3rd International Workshop on Inductive Logic Programming, pages 221--240. J. Stefan Institute, 1993.
C. Rouveirol, H. Adé, and L. De Raedt. Bottom-up generalization in ILP. In F. Bergadano, L. De Raedt, S. Matwin, and S. Muggleton, editors, Proceedings of the IJCAI-93 Workshop on Inductive Logic Programming, pages 59--70. Morgan Kaufmann, 1993.
C. Rouveirol, H. Adé, and L. De Raedt. Bottom up Generalization in ILP. Technical Report KUL-CW-171, Department of Computer Science, Katholieke Universiteit Leuven, 1993.

1992

H. Adé, L. De Raedt, and M. Bruynooghe. Inverse resolution in an integrated inductive - deductive learning system. In B. Neumann, editor, Proceedings of the 10th European Conference on Artificial Intelligence, pages 456--457. John Wiley, 1992.
W. Van Holder, L. De Raedt, H. Adé, G. Sablon, M. Bruynooghe, and Y.D. Willems. MacCLINT: An Interactive Machine Learning System. In Proceedings of the European Apple University Consortium Conference, 1992.
L. De Raedt. Interactive Theory Revision: An Inductive Logic Programming Approach. Academic Press, 1992.
L. De Raedt. Inductive Logic Programming: An introduction. In Proceedings of the 14th International Conference on Information Technology Interfaces, pages 17--22, 1992. (Invited paper)
L. De Raedt and M. Bruynooghe. Belief updating from integrity constraints and queries. Artificial Intelligence, 53:291--307, 1992.
L. De Raedt and M. Bruynooghe. Discovering clausal theories in databases. In C. Rouveirol, editor, Proceedings of the ECAI-92 Workshop on Logical Approaches to Machine Learning, 1992.
L. De Raedt and M. Bruynooghe. A clausal discovery engine. In C. Rouveirol, editor, Proceedings of the ECAI-92 Workshop on Logical Approaches to Machine Learning, 1992. (Extended abstract)
L. De Raedt and M. Bruynooghe. An Overview of the Interactive Concept-Learner and Theory Revisor CLINT. In S. Muggleton, editor, Inductive Logic Programming, pages 163--192. Academic Press, 1992.
L. De Raedt and M. Bruynooghe. A clausal discovery engine. In Proceedings of the 6th International School for the Synthesis of Expert Knowledge, 1992. (Extended abstract)
L. De Raedt and M. Bruynooghe. Interactive concept learning and constructive induction by analogy. Machine Learning, 8(2):107--150, 1992.
L. De Raedt and M. Bruynooghe. A unifying framework for concept-learning algorithms. The Knowledge Engineering Review, 7(3):251--269, 1992.
L. De Raedt and M. Bruynooghe. Discovering integrity constraints in deductive databases. In Proceedings of the 1st Esprit Compulog Network Workshop on Logic Programming and Artficial Intelligence, 1992. (Extended abstract)
L. De Raedt, J. Feyaerts, and M. Bruynooghe. Acquiring Object-knowledge. Journal of Experimental and Theoretical Artificial Intelligence, 4:213--232, 1992.
C. Rouveirol and L. De Raedt. The use of background knowledge for generalization in ILP. In C. Rouveirol, editor, Proceedings of the ECAI-92 Workshop on Logical Approaches to Machine Learning, 1992.
G. Sablon, H. Adé, L. De Raedt, and M. Bruynooghe. Some Thoughts on Inverse Resolution. In S. Muggleton, editor, Inductive Logic Programming, pages 409--422. Academic Press, 1992.

1991

H. Adé, L. De Raedt, and M. Bruynooghe. Inverse resolutie in een geintegreerd inductief - deductief leersysteem: SWAN. In Proceedings of the 4th Dutch AI Conference, pages 299--308, 1991. (In Dutch)
L. De Raedt. Interactive Concept-Learning. PhD thesis, Department of Computer Science, Katholieke Universiteit Leuven, 1991.
L. De Raedt and M. Bruynooghe. CLINT: A multistrategy interactive concept-learner and theory revision system. In Proceedings of the 1st International Workshop on Multistrategy Learning, pages 175--191, 1991.
L. De Raedt, M. Bruynooghe, and B. Martens. Integrity Constraints and Interactive Concept-Learning. In L. Birnbaum and G. Collins, editors, Proceedings of the 8th International Workshop on Machine Learning, pages 394--398. Morgan Kaufmann, 1991.
L. De Raedt, J. Feyaerts, and M. Bruynooghe. Acquiring Object-Knowledge for Learning Systems. In Y. Kodratoff, editor, Proceedings of the 5th European Working Session on Learning, volume 482 of Lecture Notes in Artificial Intelligence, pages 245--264. Springer-Verlag, 1991.
L. De Raedt, G. Sablon, and M. Bruynooghe. Using interactive concept-learning for knowledge base validation and verification. In M. Ayel and J.P. Laurent, editors, Validation, Verification and Testing of Knowledge Based Systems, pages 177--190. John Wiley, 1991.
G. Sablon, H. Adé, L. De Raedt, and M. Bruynooghe. Some Thoughts on Inverse Resolution. In S. Muggleton, editor, Proceedings of the 1st International Workshop on Inductive Logic Programming, pages 83--91, 1991.

1990

L. De Raedt and M. Bruynooghe. On negation and three-valued logic in interactive concept-learning. In L.C. Aiello, editor, Proceedings of the 9th European Conference on Artificial Intelligence, pages 207--212. Pitman, 1990.
L. De Raedt and M. Bruynooghe. Using interactive Concept-learning for knowledge base validation, verification and testing. In Proceedings of the ECAI-90 Workshop on Validation, Verification and Testing of Knowledge-Based Systems, 1990.
L. De Raedt and M. Bruynooghe. Indirect relevance and bias in inductive concept-learning. Knowledge Acquisition, 2:365--390, 1990.
L. De Raedt and M. Bruynooghe. Interactief leren van concepten: Een overzicht. In Proceedings of the 3rd Dutch AI Conference, 1990. (In Dutch)

1989

L. De Raedt and M. Bruynooghe. Constructive Induction by Analogy: A method to learn how to learn?. In K. Morik, editor, Proceedings of the 4th European Working Session on Learning, pages 189--200. Pitman, 1989.
L. De Raedt and M. Bruynooghe. Towards friendly concept-learners. In Proceedings of the 11th International Joint Conference on Artificial Intelligence, pages 849--856. Morgan Kaufmann, 1989.
L. De Raedt and M. Bruynooghe. Constructive Induction by Analogy. In Proceedings of the 6th International Workshop on Machine Learning, pages 476--477. Morgan Kaufmann, 1989.
L. De Raedt and M. Bruynooghe. On Explanation and Bias in Inductive Concept-Learning. In Proceedings of the 3rd European Knowledge Acquisition for Knowledge Based Systems Workshop, pages 338--353, 1989.

1988

L. De Raedt and M. Bruynooghe. On interactive concept-learning and assimilation. In D. Sleeman, editor, Proceedings of the 3rd European Working Session on Learning. Pitman, 1988.

1987

L. De Raedt, B. Krekels, M. Bruynooghe, and D. Van Meir. Using Shapiro's Model Inference System for concept-learning. In Proceedings of the 4th International Conference on Artificial Intelligence and Control Systems of Robots, pages 191--196, 1987.