Muggleton, Stephen H

53 publications

MLJ 2025 Boolean Matrix Logic Programming for Active Learning of Gene Functions in Genome-Scale Metabolic Network Models Lun Ai, Stephen H. Muggleton, Shi-Shun Liang, Geoff S. Baldwin

MLJ 2023 Explanatory Machine Learning for Sequential Human Teaching Lun Ai, Johannes Langer, Stephen H. Muggleton, Ute Schmid

MLJ 2022 Correction to: Meta-Interpretive Learning as Metarule Specialisation Stassa Patsantzis, Stephen H. Muggleton

MLJ 2022 Inductive Logic Programming at 30 Andrew Cropper, Sebastijan Dumancic, Richard Evans, Stephen H. Muggleton

MLJ 2022 Meta-Interpretive Learning as Metarule Specialisation Stassa Patsantzis, Stephen H. Muggleton

IJCAI 2021 Abductive Knowledge Induction from Raw Data Wang-Zhou Dai, Stephen H. Muggleton

IJCAI 2021 Abductive Learning with Ground Knowledge Base Le-Wen Cai, Wang-Zhou Dai, Yu-Xuan Huang, Yufeng Li, Stephen H. Muggleton, Yuan Jiang

MLJ 2021 Beneficial and Harmful Explanatory Machine Learning Lun Ai, Stephen H. Muggleton, Céline Hocquette, Mark Gromowski, Ute Schmid

NeurIPS 2021 Fast Abductive Learning by Similarity-Based Consistency Optimization Yu-Xuan Huang, Wang-Zhou Dai, Le-Wen Cai, Stephen H Muggleton, Yuan Jiang

MLJ 2021 Top Program Construction and Reduction for Polynomial Time Meta-Interpretive Learning Stassa Patsantzis, Stephen H. Muggleton

IJCAI 2020 Complete Bottom-up Predicate Invention in Meta-Interpretive Learning Céline Hocquette, Stephen H. Muggleton

MLJ 2020 Learning Higher-Order Logic Programs Andrew Cropper, Rolf Morel, Stephen H. Muggleton

AAAI 2020 Learning Higher-Order Programs Through Predicate Invention Andrew Cropper, Rolf Morel, Stephen H. Muggleton

IJCAI 2020 Turning 30: New Ideas in Inductive Logic Programming Andrew Cropper, Sebastijan Dumancic, Stephen H. Muggleton

MLJ 2019 Learning Efficient Logic Programs Andrew Cropper, Stephen H. Muggleton

MLJ 2018 Meta-Interpretive Learning from Noisy Images Stephen H. Muggleton, Wang-Zhou Dai, Claude Sammut, Alireza Tamaddoni-Nezhad, Jing Wen, Zhi-Hua Zhou

MLJ 2018 Ultra-Strong Machine Learning: Comprehensibility of Programs Learned with ILP Stephen H. Muggleton, Ute Schmid, Christina Zeller, Alireza Tamaddoni-Nezhad, Tarek R. Besold

IJCAI 2016 Learning Higher-Order Logic Programs Through Abstraction and Invention Andrew Cropper, Stephen H. Muggleton

IJCAI 2015 Learning Efficient Logical Robot Strategies Involving Composable Objects Andrew Cropper, Stephen H. Muggleton

MLJ 2015 Meta-Interpretive Learning of Higher-Order Dyadic Datalog: Predicate Invention Revisited Stephen H. Muggleton, Dianhuan Lin, Alireza Tamaddoni-Nezhad

MLJ 2014 Meta-Interpretive Learning: Application to Grammatical Inference Stephen H. Muggleton, Dianhuan Lin, Niels Pahlavi, Alireza Tamaddoni-Nezhad

IJCAI 2013 Meta-Interpretive Learning of Higher-Order Dyadic Datalog: Predicate Invention Revisited Stephen H. Muggleton, Dianhuan Lin

MLJ 2012 Guest Editorial: Special Issue on Inductive Logic Programming (ILP 2011) Stephen H. Muggleton, Jianzhong Chen

MLJ 2012 ILP Turns 20 - Biography and Future Challenges Stephen H. Muggleton, Luc De Raedt, David Poole, Ivan Bratko, Peter A. Flach, Katsumi Inoue, Ashwin Srinivasan

MLJ 2009 The Lattice Structure and Refinement Operators for the Hypothesis Space Bounded by a Bottom Clause Alireza Tamaddoni-Nezhad, Stephen H. Muggleton

MLJ 2008 Guest Editorial: Special Issue on Inductive Logic Programming Stephen H. Muggleton, Ramón P. Otero, Simon Colton

MLJ 2008 Learning Probabilistic Logic Models from Probabilistic Examples Jianzhong Chen, Stephen H. Muggleton, José Carlos Almeida Santos

MLJ 2008 QG/GA: A Stochastic Search for Progol Stephen H. Muggleton, Alireza Tamaddoni-Nezhad

MLJ 2008 Structured Machine Learning: The Next Ten Years Thomas G. Dietterich, Pedro M. Domingos, Lise Getoor, Stephen H. Muggleton, Prasad Tadepalli

MLJ 2006 Application of Abductive ILP to Learning Metabolic Network Inhibition from Temporal Data Alireza Tamaddoni-Nezhad, Raphael Chaleil, Antonis C. Kakas, Stephen H. Muggleton

MLJ 2006 Mathematical Applications of Inductive Logic Programming Simon Colton, Stephen H. Muggleton

AAAI 2006 Towards Chemical Universal Turing Machines Stephen H. Muggleton

MLJ 2001 The Effect of Relational Background Knowledge on Learning of Protein Three-Dimensional Fold Signatures Marcel Turcotte, Stephen H. Muggleton, Michael J. E. Sternberg

ICML 2000 Learning Chomsky-like Grammars for Biological Sequence Families Stephen H. Muggleton, Christopher H. Bryant, Ashwin Srinivasan

ECML-PKDD 2000 Measuring Performance When Positives Are Rare: Relative Advantage Versus Predictive Accuracy - A Biological Case Study Stephen H. Muggleton, Christopher H. Bryant, Ashwin Srinivasan

MLJ 1998 Pharmacophore Discovery Using the Inductive Logic Programming System PROGOL Paul W. Finn, Stephen H. Muggleton, David Page, Ashwin Srinivasan

MLJ 1997 Guest Editors' Introduction Stephen H. Muggleton, David Page

IJCAI 1997 The Predictive Toxicology Evaluation Challenge Ashwin Srinivasan, Ross D. King, Stephen H. Muggleton, Michael J. E. Sternberg

IJCAI 1995 Inductive Logic Programming: Inverse Resolution and Beyond Stephen H. Muggleton

COLT 1994 Bayesian Inductive Logic Programming Stephen H. Muggleton

ICML 1994 Bayesian Inductive Logic Programming Stephen H. Muggleton

ECML-PKDD 1993 Inductive Logic Programming: Derivations, Successes and Shortcomings Stephen H. Muggleton

ECML-PKDD 1993 Learnability of Constrained Logic Programs Saso Dzeroski, Stephen H. Muggleton, Stuart Russell

ALT 1993 Optimal Layered Learning: A PAC Approach to Incremental Sampling Stephen H. Muggleton

ICML 1992 Compression, Significance, and Accuracy Stephen H. Muggleton, Ashwin Srinivasan, Michael Bain

COLT 1992 PAC-Learnability of Determinate Logic Programs Saso Dzeroski, Stephen H. Muggleton, Stuart Russell

ICML 1992 Towards Inductive Generalization in Higher Order Logic Cao Feng, Stephen H. Muggleton

ICML 1991 Learning Qualitative Models of Dynamic Systems Ivan Bratko, Stephen H. Muggleton, Alen Varsek

ALT 1990 Efficient Induction of Logic Programs Stephen H. Muggleton, Cao Feng

ALT 1990 Inductive Logic Programming Stephen H. Muggleton

ICML 1989 An Experimental Comparison of Human and Machine Learning Formalisms Stephen H. Muggleton, Michael Bain, Jean Hayes Michie, Donald Michie

ICML 1988 Machine Invention of First Order Predicates by Inverting Resolution Stephen H. Muggleton, Wray L. Buntine

IJCAI 1987 Duce, an Oracle-Based Approach to Constructive Induction Stephen H. Muggleton