ILPnet2 library: R.D. King

ILP publications by R.D. King

This is a list of all publications in the ILPnet2 on-line library which are (co-)authored by R.D. King. 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.

2003

R.D. King. A Personal View of How Best to Apply ILP. In T. Horváth and A. Yamamoto, editors, Proceedings of the 13th International Conference on Inductive Logic Programming, volume 2835 of Lecture Notes in Artificial Intelligence, pages 1--1. Springer-Verlag, 2003.

2001

A. Karwath and R. D. King. An Automated ILP Server in the Field of Bioinformatics. 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 91--1--03. Springer-Verlag, September 2001.
C.H. Bryant, S.H. Muggleton, S.G. Oliver, D.B. Kell, P. Reiser, and R.D. King. Combining Inductive Logic Programming, Active Learning and Robotics to Discover the Function of Genes. Electronic Transactions on Artificial Intelligence, 5(B1):1--36, 2001. More behind this link.

2000

R. D. King, A. Karwath, A. J. Clare, and L. Dehaspe. Genome scale prediction of protein functional class from sequence using data mining. In R. Ramakrishnan, S. Stolfo, R. Bayardo, and I. Parsa, editors, The Sixth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pages 384--389, New York, USA, August 2000. The Association for Computing Machinery More behind this link.

1999

A. Srinivasan, R.D. King, and D.W. Bristol. An Assessment of ILP-Assisted Models for Toxicology and the PTE-3 Experiment. 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 291--302. Springer-Verlag, 1999. More behind this link.
A. Srinivasan, R.D. King, and D.W. Bristol. An assessment of submissions made to the Predictive Toxicology Evaluation Challenge. In Proceedings of the 16th International Joint Conference on Artificial Intelligence. Morgan Kaufmann, Los Angeles, CA, 1999. More behind this link.
A. Srinivasan and R.D. King. Feature construction with Inductive Logic Programming: a study of quantitative predictions of biological activity aided by structural attributes. Data Mining and Knowledge Discovery, 3(1):37--57, 1999. More behind this link.
A. Srinivasan and R.D. King. Using Inductive Logic Programming to construct Structure-Activity Relationships. In G.C. Gini and A.R. Katrizsky, editors, Predictive toxicology of chemicals: experiences and impact of AI tools (Papers from the 1999 AAAI Spring Symposium), pages 64--73. AAAI Press, Menlo Park, CA, 1999. More behind this link.

1998

L. Dehaspe, H. Toivonen, and R. D. King. Finding frequent substructures in chemical compounds. In R. Agrawal, P. Stolorz, and G. Piatetsky-Shapiro, editors, 4th International Conference on Knowledge Discovery and Data Mining, pages 30--36. AAAI Press., August 1998. More behind this link.
S. Muggleton, A. Srinivasan, R. King, and M. Sternberg. Biochemical knowledge discovery using Inductive Logic Programming. In H. Motoda, editor, Proceedings of the first Conference on Discovery Science, Berlin, 1998. Springer-Verlag More behind this link.

1997

A. Srinivasan, R.D. King, S. Muggleton, and M.J.E. Sternberg. Carcinogenesis Predictions Using 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 273--287. Springer-Verlag, 1997.
A. Srinivasan, R.D. King, S.H. Muggleton, and M. Sternberg. The predictive toxicology evaluation challenge. In Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence (IJCAI-97), pages 1--6. Morgan-Kaufmann, 1997. More behind this link.

1996

R.D. King, S. Muggleton, A. Srinivasan, and M.J.E. Sternberg. Structure-activity relationships derived by machine learning: {T}he use of atoms and their bond connectivities to predict mutagenicity by inductive logic programming. Proceedings of the National Academy of Sciences, 93:438--442, 1996.
A. Srinivasan and R.D. King. Feature construction with Inductive Logic Programming: A study of quantitative predictions of biological activity aided by structural attributes. In S. Muggleton, editor, Proceedings of the 6th International Workshop on Inductive Logic Programming, volume 1314 of Lecture Notes in Artificial Intelligence, pages 89--104. Springer-Verlag, 1996.
A. Srinivasan, S. Muggleton, M.J.E. Sternberg, and R.D. King. Theories for mutagenicity: A study in first-order and feature-based induction. Artificial Intelligence, 85(1,2), 1996.

1995

R.D. King and A. Srinivasan. Relating chemical activity to structure: An examination of ILP successes. New Generation Computing, Special issue on Inductive Logic Programming, 13(3-4):411--434, 1995.
A. Srinivasan, S. Muggleton, and R.D. King. Comparing the use of background knowledge by Inductive Logic Programming systems. In L. De Raedt, editor, Proceedings of the 5th International Workshop on Inductive Logic Programming, pages 199--230. Department of Computer Science, Katholieke Universiteit Leuven, 1995.
A. Srinivasan, S. Muggleton, R.D. King, and M.J.E. Sternberg. The effect of background knowledge in Inductive Logic Programming: A case study. Technical Report, PRG-TR-9-95 Oxford University Computing Laboratory, 1995.
A. Srinivasan, S. Muggleton, R.D. King, and M.J.E. Sternberg. Theories for mutagenecity: A study of first-order and feature based induciton. Technical Report, PRG-TR-8-95 Oxford University Computing Laboratory, 1995.

1994

I. Bratko and R.D. King. Applications of Inductive Logic Programming. SIGART Bulletin, 5(1):43--56, 1994.
A. Srinivasan, S. Muggleton, R.D. King, and M.J.E. Sternberg. Mutagenesis: ILP experiments in a non-determinate biological domain. In S. Wrobel, editor, Proceedings of the 4th International Workshop on Inductive Logic Programming, volume 237 of GMD-Studien, pages 217--232. Gesellschaft für Mathematik und Datenverarbeitung MBH, 1994.
M.J.E. Sternberg, J.D. Hurst, R.A. Lewis, R.D. King, A. Srinivasan, and S. Muggleton. Application of Machine Learning to Protein Structure Prediction and Drug Design. In Proceedings of the Colloquium on Molecular Bioinformatics, 1994.
M. Sternberg, R. King, R. Lewis, and S. Muggleton. Application of Machine Learning to Structural Molecular Biology. Philosophical Transactions of the Royal Society B, 344:365--371, 1994.
M. Sternberg, J. Hirst, R. Lewis, R. King, A. Srinivasan, and S. Muggleton. Application of Machine Learning to Protein Structure Prediction and Drug Design. In S. Schulze-Kremer, editor, Advances in Molecular Bioinformatics, pages 1--8. IOS Press, 1994.

1992

R.D. King, S. Muggleton, R. Lewis, and M.J.E Sternberg. Drug design by machine learning. In S. Muggleton, editor, Proceedings of the 2nd International Workshop on Inductive Logic Programming, Report ICOT TM-1182, 1992.
R.D. King, S. Muggleton, R. Lewis, and M.J.E Sternberg. Drug design by machine learning: The use of inductive logic programming to model the structure-activity relationships of trimethoprim analogues binding to dihydrofolate reductase. Proceedings of the National Academy of Sciences of the USA, 89(23):11322--11326, 1992.
S. Muggleton, R.D. King, and M.J.E Sternberg. Protein secondary structure prediction using logic. In S. Muggleton, editor, Proceedings of the 2nd International Workshop on Inductive Logic Programming, Report ICOT TM-1182, pages 228--259, 1992.
S. Muggleton, R.D. King, and M.J.E. Sternberg. Protein secondary structure prediction using logic. Protein Engineering, 7:647--657, 1992.
M. Sternberg, R. Lewis, R. King, and S. Muggleton. Modelling the structure and function of enzymes by machine learning. Proceedings of the Royal Society of Chemistry: Faraday Discussions, 93:269--280, 1992.