Stephen H. Muggleton

Robert C. Glen

John B. O. Mitchell

J. Comput. Aided Mol. Des., 2007

Abductive Stochastic Logic Programs for Metabolic Network Inhibition Learning.

[BibT_eX]

[DOI]

Jianzhong Chen

Jose Santos

Proceedings of the Mining and Learning with Graphs, 2007

Learning Probabilistic Logic Models from Probabilistic Examples (Extended Abstract).

[BibT_eX]

[DOI]

Jianzhong Chen

Jose Santos

Proceedings of the Inductive Logic Programming, 17th International Conference, 2007

07161 Abstracts Collection -- Probabilistic, Logical and Relational Learning - A Further Synthesis.

[BibT_eX]

[DOI]

Proceedings of the Probabilistic, Logical and Relational Learning - A Further Synthesis, 15.04., 2007

2006

Application of abductive ILP to learning metabolic network inhibition from temporal data.

[BibT_eX]

[DOI]

Raphael Chaleil

Antonis C. Kakas

Mach. Learn., 2006

Mathematical applications of inductive logic programming.

[BibT_eX]

[DOI]

Simon Colton

Mach. Learn., 2006

The Complexity of Translating BLPs to RMMs.

[BibT_eX]

[DOI]

Niels Pahlavi

Proceedings of the Inductive Logic Programming, 16th International Conference, 2006

Multi-class Prediction Using Stochastic Logic Programs.

[BibT_eX]

[DOI]

Jianzhong Chen

Lawrence A. Kelley

Proceedings of the Inductive Logic Programming, 16th International Conference, 2006

Towards Chemical Universal Turing Machines.

[BibT_eX]

[DOI]

Proceedings of the Proceedings, 2006

2005

Computing Confidence Measures in Stochastic Logic Programs.

[BibT_eX]

[DOI]

Huma Lodhi

Proceedings of the MICAI 2005: Advances in Artificial Intelligence, 2005

Learning Stochastic Logical Automaton.

[BibT_eX]

[DOI]

Hiroaki Watanabe

Proceedings of the New Frontiers in Artificial Intelligence, 2005

Machine Learning for Systems Biology.

[BibT_eX]

[DOI]

Proceedings of the Inductive Logic Programming, 15th International Conference, 2005

Abduction and induction for learning models of inhibition in metabolic networks.

[BibT_eX]

[DOI]

Raphael Chaleil

Antonis C. Kakas

Proceedings of the Fourth International Conference on Machine Learning and Applications, 2005

Support Vector Inductive Logic Programming.

[BibT_eX]

[DOI]

Huma Lodhi

Ata Amini

Proceedings of the Discovery Science, 8th International Conference, 2005

05051 Abstracts Collection - Probabilistic, Logical and Relational Learning - Towards a Synthesis.

[BibT_eX]

[DOI]

Proceedings of the Probabilistic, Logical and Relational Learning - Towards a Synthesis, 30. January, 2005

05051 Executive Summary - Probabilistic, Logical and Relational Learning - Towards a Synthesis.

[BibT_eX]

[DOI]

Proceedings of the Probabilistic, Logical and Relational Learning - Towards a Synthesis, 30. January, 2005

Learning the Time Complexity of Logic Programs.

[BibT_eX]

[DOI]

Proceedings of the Workshop on Approaches and Applications of Inductive Programming, 2005

2004

Modelling Inhibition in Metabolic Pathways Through Abduction and Induction.

[BibT_eX]

[DOI]

Antonis C. Kakas

Florencio Pazos

Proceedings of the Inductive Logic Programming, 14th International Conference, 2004

Modelling Metabolic Pathways Using Stochastic Logic Programs-Based Ensemble Methods.

[BibT_eX]

[DOI]

Huma Lodhi

Proceedings of the Computational Methods in Systems Biology, International Conference, 2004

2003

Interpretation of Hidden Node Methodology in Automated Classification of Neural Cell Morphology.

[BibT_eX]

Proceedings of the International Conference on Mathematics and Engineering Techniques in Medicine and Biological Scienes, 2003

Induction of Enzyme Classes from Biological Databases.

[BibT_eX]

[DOI]

Hiroaki Watanabe

Proceedings of the Inductive Logic Programming: 13th International Conference, 2003

ILP for Mathematical Discovery.

[BibT_eX]

[DOI]

Simon Colton

Proceedings of the Inductive Logic Programming: 13th International Conference, 2003

2002

Generating Protein Three-dimensional Fold Signatures using Inductive Logic Programming.

[BibT_eX]

[DOI]

Comput. Chem., 2002

A Genetic Algorithms Approach to ILP.

[BibT_eX]

[DOI]

Proceedings of the Inductive Logic Programming, 12th International Conference, 2002

Learning Structure and Parameters of Stochastic Logic Programs.

[BibT_eX]

[DOI]

Proceedings of the Inductive Logic Programming, 12th International Conference, 2002

Scalable acceleration of inductive logic programs.

[BibT_eX]

[DOI]

Andreas Fidjeland

Wayne Luk

Proceedings of the 2002 IEEE International Conference on Field-Programmable Technology, 2002

2001

The Effect of Relational Background Knowledge on Learning of Protein Three-Dimensional Fold Signatures.

[BibT_eX]

[DOI]

Mach. Learn., 2001

Are Grammatical Representations Useful for Learning from Biological Sequence Data? - A Case Study.

[BibT_eX]

[DOI]

Alex Whittaker

Simon Topp

Christopher J. Rawlings

J. Comput. Biol., 2001

Developing a Logical Model of Yeast Metabolism.

[BibT_eX]

[DOI]

Stephen G. Oliver

Electron. Trans. Artif. Intell., 2001

Automatic determination of protein fold signatures from structural superpositions.

[BibT_eX]

[DOI]

A. P. Cootes

R. B. Greaves

Electron. Trans. Artif. Intell., 2001

Combining Inductive Logic Programming, Active Learning and Robotics to Discover the Function of Genes.

[BibT_eX]

[DOI]

Electron. Trans. Artif. Intell., 2001

2000

Use of Inductive Logic Programming to Learn Principles of Protein Structure.

[BibT_eX]

[DOI]

Electron. Trans. Artif. Intell., 2000

Learning Stochastic Logic Programs.

[BibT_eX]

[DOI]

Electron. Trans. Artif. Intell., 2000

Searching the Subsumption Lattice by a Genetic Algorithm.

[BibT_eX]

[DOI]

Proceedings of the Inductive Logic Programming, 10th International Conference, 2000

Theory Completion Using Inverse Entailment.

[BibT_eX]

[DOI]

Proceedings of the Inductive Logic Programming, 10th International Conference, 2000

Learning Chomsky-like Grammars for Biological Sequence Families.

[BibT_eX]

Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000

Measuring Performance when Positives Are Rare: Relative Advantage versus Predictive Accuracy - A Biological Case Study.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning: ECML 2000, 11th European Conference on Machine Learning, Barcelona, Catalonia, Spain, May 31, 2000

1999

Guest Editors' Introduction: Inductive Logic Programming.

[BibT_eX]

[DOI]

J. Log. Program., 1999

Scientific Knowledge Discovery Using Inductive Logic Programming.

[BibT_eX]

[DOI]

Commun. ACM, 1999

Inductive Logic Programming: Issues, Results and the Challenge of Learning Language in Logic.

[BibT_eX]

[DOI]

Artif. Intell., 1999

Theory Recovery.

[BibT_eX]

[DOI]

Rupert Parson

Khalid Khan

Proceedings of the Inductive Logic Programming, 9th International Workshop, 1999

Analogical Prediction.

[BibT_eX]

[DOI]

Proceedings of the Inductive Logic Programming, 9th International Workshop, 1999

1998

Pharmacophore Discovery Using the Inductive Logic Programming System PROGOL.

[BibT_eX]

[DOI]

Mach. Learn., 1998

Application of Inductive Logic Programming to Discover Rules Governing the Three-Dimensional Topology of Protein Structure.

[BibT_eX]

[DOI]

Proceedings of the Inductive Logic Programming, 8th International Workshop, 1998

A Comparison of ILP and Propositional Systems on Propositional Traffic Data.

[BibT_eX]

[DOI]

Proceedings of the Inductive Logic Programming, 8th International Workshop, 1998

Completing Inverse Entailment.

[BibT_eX]

[DOI]

Proceedings of the Inductive Logic Programming, 8th International Workshop, 1998

Advances in ILP Theory and Implementations (Abstract).

[BibT_eX]

[DOI]

Proceedings of the Inductive Logic Programming, 8th International Workshop, 1998

Repeat Learning Using Predicate Invention.

[BibT_eX]

[DOI]

Khalid Khan

Rupert Parson

Proceedings of the Inductive Logic Programming, 8th International Workshop, 1998

Detecting Traffic Problems with ILP.

[BibT_eX]

[DOI]

Proceedings of the Inductive Logic Programming, 8th International Workshop, 1998

Inductive Logic Programming: Issues, Results and the LLL Challenge (abstract).

[BibT_eX]

Proceedings of the 13th European Conference on Artificial Intelligence, 1998

Biochemical Knowledge Discovery Using Inductive Logic Programming.

[BibT_eX]

[DOI]

Proceedings of the Discovery Science, 1998

Knowledge Discovery in Biological and Chemical Domains.

[BibT_eX]

[DOI]

Proceedings of the Discovery Science, 1998

1997

Guest Editors' Introduction.

[BibT_eX]

[DOI]

Mach. Learn., 1997

Carcinogenesis Predictions Using ILP.

[BibT_eX]

[DOI]

Proceedings of the Inductive Logic Programming, 7th International Workshop, 1997

Learning Programs in the Event Calculus.

[BibT_eX]

[DOI]

Stephen Moyle

Proceedings of the Inductive Logic Programming, 7th International Workshop, 1997

The Predictive Toxicology Evaluation Challenge.

[BibT_eX]

[DOI]

Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence, 1997

Machine Intelligibility and the Duality Principle.

[BibT_eX]

[DOI]

Donald Michie

Proceedings of the Software Agents and Soft Computing: Towards Enhancing Machine Intelligence, 1997

1996

Theories for Mutagenicity: A Study in First-Order and Feature-Based Induction.

[BibT_eX]

[DOI]

Artif. Intell., 1996

An Initial Experiment into Stereochemistry-Based Drug Design Using Inductive Logic Programming.

[BibT_eX]

[DOI]

Proceedings of the Inductive Logic Programming, 6th International Workshop, 1996

Learning from Positive Data.

[BibT_eX]

[DOI]

Proceedings of the Inductive Logic Programming, 6th International Workshop, 1996

1995

Special Issue on Inductive Logic Programming.

[BibT_eX]

[DOI]

Fumio Mizoguchi

Koichi Furukawa

New Gener. Comput., 1995

Inverse Entailment and Progol.

[BibT_eX]

[DOI]

New Gener. Comput., 1995

Applications of Inductive Logic Programming.

[BibT_eX]

[DOI]

Ivan Bratko

Commun. ACM, 1995

Drug Design by Machine Learning.

[BibT_eX]

Proceedings of the Machine Intelligence 15, 1995

An Experiment with Browsers that Learn.

[BibT_eX]

Rupert Parson

Proceedings of the Machine Intelligence 15, 1995

A Learnability Model for Universal Representations and Its Application to Top-down Induction of Decision Trees.

[BibT_eX]

Proceedings of the Machine Intelligence 15, 1995

Inductive Logic Programming: Inverse Resolution and Beyond.

[BibT_eX]

[DOI]

Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, 1995

1994

Inductive Logic Programming: Derivations, Successes and Shortcomings.

[BibT_eX]

[DOI]

SIGART Bull., 1994

Inductive Logic Programming: Theory and Methods.

[BibT_eX]

[DOI]

Luc De Raedt

J. Log. Program., 1994

Predicate invention and utilization.

[BibT_eX]

[DOI]

J. Exp. Theor. Artif. Intell., 1994

Bayesian Inductive Logic Programming.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 1994

1993

Inverting Entailment and Progol.

[BibT_eX]

Proceedings of the Machine Intelligence 14, 1993

Learnability of Constrained Logic Programs.

[BibT_eX]

[DOI]

Saso Dzeroski

Stuart Russell

Proceedings of the Machine Learning: ECML-93, 1993

Optimal Layered Learning: A PAC Approach to Incremental Sampling.

[BibT_eX]

[DOI]

Proceedings of the Algorithmic Learning Theory, 4th International Workshop, 1993

1992

Statlog Project.

[BibT_eX]

[DOI]

Dataset, September, 1992

Machine Learning and biomolecular modelling.

[BibT_eX]

R. A. Lewis

Proceedings of the Machine Intelligence 13, 1992

The Justification of Logical Theories based on Data Compression.

[BibT_eX]

Proceedings of the Machine Intelligence 13, 1992

Logic and Learning: Turing's legacy.

[BibT_eX]

Proceedings of the Machine Intelligence 13, 1992

Learning optimal chess strategies.

[BibT_eX]

Proceedings of the Machine Intelligence 13, 1992

Compression, Significance, and Accuracy.

[BibT_eX]

[DOI]

Proceedings of the Ninth International Workshop on Machine Learning (ML 1992), 1992

Towards Inductive Generalization in Higher Order Logic.

[BibT_eX]

[DOI]

Cao Feng

Proceedings of the Ninth International Workshop on Machine Learning (ML 1992), 1992

Developments in Inductive Logic Programming, Panel Position Paper.

[BibT_eX]

Proceedings of the International Conference on Fifth Generation Computer Systems. FGCS 1992, 1992

PAC-Learnability of Determinate Logic Programs.

[BibT_eX]

[DOI]

Saso Dzeroski

Stuart Russell

Proceedings of the Fifth Annual ACM Conference on Computational Learning Theory, 1992

1991

Inductive Logic Programming.

[BibT_eX]

[DOI]

New Gener. Comput., 1991

Learning Qualitative Models of Dynamic Systems.

[BibT_eX]

[DOI]

Ivan Bratko

Alen Varsek

Proceedings of the Eighth International Workshop (ML91), 1991

Learning to Relate Terms in a Multiple Agent Environment.

[BibT_eX]

[DOI]

Pavel Brazdil

Proceedings of the Machine Learning, 1991

1990

Efficient Induction of Logic Programs.

[BibT_eX]

Cao Feng

Proceedings of the Algorithmic Learning Theory, First International Workshop, 1990

Inductive acquisition of expert knowledge.

[BibT_eX]

Turing Institute Pr., ISBN: 978-0-201-17561-5, 1990

1989

An Experimental Comparison of Human and Machine Learning Formalisms.

[BibT_eX]

Proceedings of the Sixth International Workshop on Machine Learning (ML 1989), 1989

1988

Machine Invention of First Order Predicates by Inverting Resolution.

[BibT_eX]

Wray L. Buntine

Proceedings of the Machine Learning, 1988

A Strategy for Constructing New Predicates in First-Order Logic.

[BibT_eX]

Proceedings of the Third European Working Session on Learning, 1988

1987

Duce, An Oracle-based Approach to Constructive Induction.

[BibT_eX]

[DOI]

Proceedings of the 10th International Joint Conference on Artificial Intelligence. Milan, 1987

Structuring Knowledge by Asking Questions.

[BibT_eX]

Proceedings of the Progress in Machine Learning, 1987

1986

Inductive acquisition of expert knowledge.

[BibT_eX]

[DOI]