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Stephen Muggleton
Stephen H. Muggleton
2010 – today
- 2013
[c96]Stephen H. Muggleton, Dianhuan Lin: Meta-Interpretive Learning of Higher-Order Dyadic Datalog: Predicate Invention revisited. IJCAI 2013- 2012
- [j33]José Carlos Almeida Santos, Houssam Nassif, David Page, Stephen H. Muggleton, Michael J. E. Sternberg: Automated identification of protein-ligand interaction features using Inductive Logic Programming: a hexose binding case study. BMC Bioinformatics 13: 162 (2012)
- [j32]Stephen Muggleton, Luc De Raedt, David Poole, Ivan Bratko, Peter A. Flach, Katsumi Inoue, Ashwin Srinivasan: ILP turns 20 - Biography and future challenges. Machine Learning 86(1): 3-23 (2012)
- [j31]Stephen Muggleton, Jianzhong Chen: Guest editorial: special issue on Inductive Logic Programming (ILP 2011). Machine Learning 89(3): 213-214 (2012)
- [c95]Steve Barker, Andrew J. I. Jones, Antonis C. Kakas, Robert A. Kowalski, Alessio Lomuscio, Rob Miller, Stephen Muggleton, Giovanni Sartor: The Scientific Contribution of Marek Sergot. Logic Programs, Norms and Action 2012: 4-11
- [c94]Ghazal Afroozi Milani, David Bohan, Stuart J. Dunbar, Stephen Muggleton, Alan Raybould, Alireza Tamaddoni-Nezhad: Machine Learning and Text Mining of Trophic Links. ICMLA (2) 2012: 410-415
- [e8]Stephen Muggleton, Alireza Tamaddoni-Nezhad, Francesca A. Lisi (Eds.): Inductive Logic Programming - 21st International Conference, ILP 2011, Windsor Great Park, UK, July 31 - August 3, 2011, Revised Selected Papers. Lecture Notes in Computer Science 7207, Springer 2012, ISBN 978-3-642-31950-1
- 2011
- [j30]Victor Lesk, Jan Taubert, Christopher J. Rawlings, Stuart J. Dunbar, Stephen Muggleton: WIBL: Workbench for Integrative Biological Learning. J. Integrative Bioinformatics 8(2) (2011)
- [c93]Dianhuan Lin, Jianzhong Chen, Hiroaki Watanabe, Stephen Muggleton, Pooja Jain, Michael J. E. Sternberg, Charles Baxter, Richard A. Currie, Stuart J. Dunbar, Mark Earll, José Domingo Salazar: Does Multi-Clause Learning Help in Real-World Applications? ILP 2011: 221-237
- [c92]Stephen H. Muggleton, Dianhuan Lin, Alireza Tamaddoni-Nezhad: MC-TopLog: Complete Multi-clause Learning Guided by a Top Theory. ILP 2011: 238-254
- [c91]Alireza Tamaddoni-Nezhad, David Bohan, Alan Raybould, Stephen H. Muggleton: Machine Learning a Probabilistic Network of Ecological Interactions. ILP 2011: 332-346
- [c90]Hiroaki Watanabe, Stephen H. Muggleton: Projection-Based PILP: Computational Learning Theory with Empirical Results. ILP 2011: 358-372
- 2010
- [c89]Jose Santos, Stephen Muggleton: Subsumer: A Prolog theta-subsumption engine. ICLP (Technical Communications) 2010: 172-181
- [c88]Stephen Muggleton: Knowledge Mining Biological Network Models. Intelligent Information Processing 2010: 2
- [c87]Stephen Muggleton, Jianzhong Chen, Hiroaki Watanabe, Stuart J. Dunbar, Charles Baxter, Richard A. Currie, José Domingo Salazar, Jan Taubert, Michael J. E. Sternberg: Variation of Background Knowledge in an Industrial Application of ILP. ILP 2010: 158-170
- [c86]
- [c85]Jose Santos, Stephen Muggleton: When Does It Pay Off to Use Sophisticated Entailment Engines in ILP? ILP 2010: 214-221
- [c84]
2000 – 2009
- 2009
- [j29]Alireza Tamaddoni-Nezhad, Stephen Muggleton: The lattice structure and refinement operators for the hypothesis space bounded by a bottom clause. Machine Learning 76(1): 37-72 (2009)
- [j28]Huma Lodhi, Stephen Muggleton, Michael J. E. Sternberg: Multi-Class protein fold recognition using large margin logic based divide and conquer learning. SIGKDD Explorations 11(2): 117-122 (2009)
- [c83]Huma Lodhi, Stephen Muggleton, Michael J. E. Sternberg: Learning Large Margin First Order Decision Lists for Multi-Class Classification. Discovery Science 2009: 168-183
- [c82]José Carlos Almeida Santos, Alireza Tamaddoni-Nezhad, Stephen Muggleton: An ILP System for Learning Head Output Connected Predicates. EPIA 2009: 150-159
- [c81]Stephen Muggleton, Aline Paes, Vítor Santos Costa, Gerson Zaverucha: Chess Revision: Acquiring the Rules of Chess Variants through FOL Theory Revision from Examples. ILP 2009: 123-130
- [c80]Stephen Muggleton, José Carlos Almeida Santos, Alireza Tamaddoni-Nezhad: ProGolem: A System Based on Relative Minimal Generalisation. ILP 2009: 131-148
- [c79]
- [c78]Huma Lodhi, Stephen Muggleton, Michael J. E. Sternberg: Multi-class protein fold recognition using large margin logic based divide and conquer learning. KDD Workshop on Statistical and Relational Learning in Bioinformatics 2009: 22-26
- 2008
- [j27]Stephen Muggleton, Ramón P. Otero, Simon Colton: Guest editorial: special issue on Inductive Logic Programming. Machine Learning 70(2-3): 119-120 (2008)
- [j26]Stephen Muggleton, Alireza Tamaddoni-Nezhad: QG/GA: a stochastic search for Progol. Machine Learning 70(2-3): 121-133 (2008)
- [j25]Thomas G. Dietterich, Pedro Domingos, Lise Getoor, Stephen Muggleton, Prasad Tadepalli: Structured machine learning: the next ten years. Machine Learning 73(1): 3-23 (2008)
- [j24]Jianzhong Chen, Stephen Muggleton, José Carlos Almeida Santos: Learning probabilistic logic models from probabilistic examples. Machine Learning 73(1): 55-85 (2008)
- [c77]Andreas Fidjeland, Wayne Luk, Stephen Muggleton: A Customisable Multiprocessor for Application-Optimised Inductive Logic Programming. BCS Int. Acad. Conf. 2008: 318-330
- [c76]Stephen Muggleton, José Carlos Almeida Santos, Alireza Tamaddoni-Nezhad: TopLog: ILP Using a Logic Program Declarative Bias. ICLP 2008: 687-692
- [c75]Jianzhong Chen, Lawrence A. Kelley, Stephen Muggleton, Michael J. E. Sternberg: Protein Fold Discovery Using Stochastic Logic Programs. Probabilistic Inductive Logic Programming 2008: 244-262
- [c74]Alireza Tamaddoni-Nezhad, Stephen Muggleton: A Note on Refinement Operators for IE-Based ILP Systems. ILP 2008: 297-314
- [c73]Stephen Muggleton, Jianzhong Chen: A Behavioral Comparison of Some Probabilistic Logic Models. Probabilistic Inductive Logic Programming 2008: 305-324
- [c72]Stephen Muggleton: Developing Robust Synthetic Biology Designs Using a Microfluidic Robot Scientist. SBIA 2008: 4
- [c71]
- [e7]Luc De Raedt, Thomas G. Dietterich, Lise Getoor, Kristian Kersting, Stephen Muggleton (Eds.): Probabilistic, Logical and Relational Learning - A Further Synthesis, 15.04. - 20.04.2007. Dagstuhl Seminar Proceedings 07161, Internationales Begegnungs- und Forschungszentrum fuer Informatik (IBFI), Schloss Dagstuhl, Germany 2008
- [e6]Luc De Raedt, Paolo Frasconi, Kristian Kersting, Stephen Muggleton (Eds.): Probabilistic Inductive Logic Programming - Theory and Applications. Lecture Notes in Computer Science 4911, Springer 2008, ISBN 978-3-540-78651-1
- 2007
- [c70]Luc De Raedt, Thomas G. Dietterich, Lise Getoor, Kristian Kersting, Stephen Muggleton: 07161 Abstracts Collection -- Probabilistic, Logical and Relational Learning - A Further Synthesis. Probabilistic, Logical and Relational Learning - A Further Synthesis 2007
- [c69]Jianzhong Chen, Stephen Muggleton, Jose Santos: Learning Probabilistic Logic Models from Probabilistic Examples (Extended Abstract). ILP 2007: 22-23
- [c68]Jianzhong Chen, Stephen Muggleton, Jose Santos: Abductive Stochastic Logic Programs for Metabolic Network Inhibition Learning. MLG 2007
- [e5]Stephen Muggleton, Ramón P. Otero, Alireza Tamaddoni-Nezhad (Eds.): Inductive Logic Programming, 16th International Conference, ILP 2006, Santiago de Compostela, Spain, August 24-27, 2006, Revised Selected Papers. Lecture Notes in Computer Science 4455, Springer 2007, ISBN 978-3-540-73846-6
- 2006
- [j23]Simon Colton, Stephen Muggleton: Mathematical applications of inductive logic programming. Machine Learning 64(1-3): 25-64 (2006)
- [j22]Alireza Tamaddoni-Nezhad, Raphael Chaleil, Antonis C. Kakas, Stephen Muggleton: Application of abductive ILP to learning metabolic network inhibition from temporal data. Machine Learning 64(1-3): 209-230 (2006)
- [c67]
- [c66]
- [c65]Jianzhong Chen, Lawrence A. Kelley, Stephen Muggleton, Michael J. E. Sternberg: Multi-class Prediction Using Stochastic Logic Programs. ILP 2006: 109-124
- [c64]
- [e4]Luc De Raedt, Thomas G. Dietterich, Lise Getoor, Stephen Muggleton (Eds.): Probabilistic, Logical and Relational Learning - Towards a Synthesis, 30. January - 4. February 2005. Dagstuhl Seminar Proceedings 05051, Internationales Begegnungs- und Forschungszentrum für Informatik (IBFI), Schloss Dagstuhl, Germany 2006
- 2005
- [c63]Luc De Raedt, Thomas G. Dietterich, Lise Getoor, Stephen Muggleton: 05051 Executive Summary - Probabilistic, Logical and Relational Learning - Towards a Synthesis. Probabilistic, Logical and Relational Learning 2005
- [c62]Luc De Raedt, Thomas G. Dietterich, Lise Getoor, Stephen Muggleton: 05051 Abstracts Collection - Probabilistic, Logical and Relational Learning - Towards a Synthesis. Probabilistic, Logical and Relational Learning 2005
- [c61]Stephen Muggleton, Huma Lodhi, Ata Amini, Michael J. E. Sternberg: Support Vector Inductive Logic Programming. Discovery Science 2005: 163-175
- [c60]Alireza Tamaddoni-Nezhad, Raphael Chaleil, Antonis C. Kakas, Stephen Muggleton: Abduction and induction for learning models of inhibition in metabolic networks. ICMLA 2005
- [c59]
- [c58]Hiroaki Watanabe, Stephen Muggleton: Learning Stochastic Logical Automaton. JSAI Workshops 2005: 201-211
- [c57]Huma Lodhi, Stephen Muggleton: Computing Confidence Measures in Stochastic Logic Programs. MICAI 2005: 890-899
- 2004
- [c56]Huma Lodhi, Stephen Muggleton: Modelling Metabolic Pathways Using Stochastic Logic Programs-Based Ensemble Methods. CMSB 2004: 119-133
- [c55]Alireza Tamaddoni-Nezhad, Antonis C. Kakas, Stephen Muggleton, Florencio Pazos: Modelling Inhibition in Metabolic Pathways Through Abduction and Induction. ILP 2004: 305-322
- 2003
- [c54]
- [c53]Stephen Muggleton, Alireza Tamaddoni-Nezhad, Hiroaki Watanabe: Induction of Enzyme Classes from Biological Databases. ILP 2003: 269-280
- [c52]Jung-Wook Bang, Alexandros Pappas, Duncan Fyfe Gillies, Stephen Muggleton: Interpretation of Hidden Node Methodology in Automated Classification of Neural Cell Morphology. METMBS 2003: 527-532
- 2002
- [j21]Marcel Turcotte, Stephen Muggleton, Michael J. E. Sternberg: Generating Protein Three-dimensional Fold Signatures using Inductive Logic Programming. Computers & Chemistry 26(1): 57-64 (2002)
- [c51]Andreas Fidjeland, Wayne Luk, Stephen Muggleton: Scalable acceleration of inductive logic programs. FPT 2002: 252-259
- [c50]Stephen Muggleton: Learning Structure and Parameters of Stochastic Logic Programs. ILP 2002: 198-206
- [c49]Alireza Tamaddoni-Nezhad, Stephen Muggleton: A Genetic Algorithms Approach to ILP. ILP 2002: 285-300
- 2001
- [j20]Christopher H. Bryant, Stephen Muggleton, Stephen G. Oliver, Douglas B. Kell, Philip G. K. Reiser, Ross D. King: Combining Inductive Logic Programming, Active Learning and Robotics to Discover the Function of Genes. Electron. Trans. Artif. Intell. 5(B): 1-36 (2001)
- [j19]Philip G. K. Reiser, Ross D. King, Douglas B. Kell, Stephen Muggleton, Christopher H. Bryant, Stephen G. Oliver: Developing a Logical Model of Yeast Metabolism. Electron. Trans. Artif. Intell. 5(B): 223-244 (2001)
- [j18]A. P. Cootes, Stephen Muggleton, R. B. Greaves, Michael J. E. Sternberg: Automatic determination of protein fold signatures from structural superpositions. Electron. Trans. Artif. Intell. 5(B): 245-274 (2001)
- [j17]Stephen Muggleton, Christopher H. Bryant, Ashwin Srinivasan, Alex Whittaker, Simon Topp, Christopher J. Rawlings: Are Grammatical Representations Useful for Learning from Biological Sequence Data? - A Case Study. Journal of Computational Biology 8(5): 493-521 (2001)
- [j16]Marcel Turcotte, Stephen Muggleton, Michael J. E. Sternberg: The Effect of Relational Background Knowledge on Learning of Protein Three-Dimensional Fold Signatures. Machine Learning 43(1/2): 81-95 (2001)
- 2000
- [j15]Marcel Turcotte, Stephen Muggleton, Michael J. E. Sternberg: Use of Inductive Logic Programming to Learn Principles of Protein Structure. Electron. Trans. Artif. Intell. 4(B): 119-124 (2000)
- [j14]Stephen Muggleton: Learning Stochastic Logic Programs. Electron. Trans. Artif. Intell. 4(B): 141-153 (2000)
- [c48]Stephen Muggleton, Christopher H. Bryant, Ashwin Srinivasan: Measuring Performance when Positives Are Rare: Relative Advantage versus Predictive Accuracy - A Biological Case Study. ECML 2000: 300-312
- [c47]Stephen Muggleton, Christopher H. Bryant, Ashwin Srinivasan: Learning Chomsky-like Grammars for Biological Sequence Families. ICML 2000: 631-638
- [c46]Stephen Muggleton, Christopher H. Bryant: Theory Completion Using Inverse Entailment. ILP 2000: 130-146
- [c45]Alireza Tamaddoni-Nezhad, Stephen Muggleton: Searching the Subsumption Lattice by a Genetic Algorithm. ILP 2000: 243-252
1990 – 1999
- 1999
- [j13]Stephen Muggleton: Inductive Logic Programming: Issues, Results and the Challenge of Learning Language in Logic. Artif. Intell. 114(1-2): 283-296 (1999)
- [j12]Stephen Muggleton: Scientific Knowledge Discovery Using Inductive Logic Programming. Commun. ACM 42(11): 42-46 (1999)
- [j11]Stephen Muggleton, David Page: Guest Editors' Introduction: Inductive Logic Programming. J. Log. Program. 40(2-3): 125-126 (1999)
- [c44]
- [c43]
- [e3]Koichi Furukawa, Donald Michie, Stephen Muggleton (Eds.): Machine Intelligence 15, Intelligent Agents [St. Catherine's College, Oxford, July 1995]. Oxford University Press 1999, ISBN 0-19-853867-7
- 1998
- [j10]Paul W. Finn, Stephen Muggleton, David Page, Ashwin Srinivasan: Pharmacophore Discovery Using the Inductive Logic Programming System PROGOL. Machine Learning 30(2-3): 241-270 (1998)
- [c42]Stephen Muggleton: Knowledge Discovery in Biological and Chemical Domains. Discovery Science 1998: 58-59
- [c41]Stephen Muggleton, Ashwin Srinivasan, Ross D. King, Michael J. E. Sternberg: Biochemical Knowledge Discovery Using Inductive Logic Programming. Discovery Science 1998: 326-341
- [c40]Stephen Muggleton: Inductive Logic Programming: Issues, Results and the LLL Challenge (abstract). ECAI 1998: 697
- [c39]
- [c38]Marcel Turcotte, Stephen Muggleton, Michael J. E. Sternberg: Application of Inductive Logic Programming to Discover Rules Governing the Three-Dimensional Topology of Protein Structure. ILP 1998: 53-64
- [c37]Khalid Khan, Stephen Muggleton, Rupert Parson: Repeat Learning Using Predicate Invention. ILP 1998: 165-174
- [c36]
- [c35]Saso Dzeroski, Nico Jacobs, Martín Molina, Carlos Moure, Stephen Muggleton, Wim Van Laer: Detecting Traffic Problems with ILP. ILP 1998: 281-290
- [c34]Sam Roberts, Wim Van Laer, Nico Jacobs, Stephen Muggleton, Jeremy Broughton: A Comparison of ILP and Propositional Systems on Propositional Traffic Data. ILP 1998: 291-299
- 1997
- [j9]
- [c33]Stephen Muggleton, Donald Michie: Machine Intelligibility and the Duality Principle. Software Agents and Soft Computing 1997: 276-292
- [c32]Ashwin Srinivasan, Ross D. King, Stephen Muggleton, Michael J. E. Sternberg: The Predictive Toxicology Evaluation Challenge. IJCAI (1) 1997: 4-9
- [c31]
- [c30]Ashwin Srinivasan, Ross D. King, Stephen Muggleton, Michael J. E. Sternberg: Carcinogenesis Predictions Using ILP. ILP 1997: 273-287
- [e2]Stephen Muggleton (Ed.): Inductive Logic Programming, 6th International Workshop, ILP-96, Stockholm, Sweden, August 26-28, 1996, Selected Papers. Lecture Notes in Computer Science 1314, Springer 1997, ISBN 3-540-63494-0
- 1996
- [j8]Ashwin Srinivasan, Stephen Muggleton, Michael J. E. Sternberg, Ross D. King: Theories for Mutagenicity: A Study in First-Order and Feature-Based Induction. Artif. Intell. 85(1-2): 277-299 (1996)
- [c29]Stephen Muggleton, David Page, Ashwin Srinivasan: An Initial Experiment into Stereochemistry-Based Drug Design Using Inductive Logic Programming. Inductive Logic Programming Workshop 1996: 25-40
- [c28]
- 1995
- [j7]Ivan Bratko, Stephen Muggleton: Applications of Inductive Logic Programming. Commun. ACM 38(11): 65-70 (1995)
- [j6]Stephen Muggleton, Fumio Mizoguchi, Koichi Furukawa: Special Issue on Inductive Logic Programming. New Generation Comput. 13(3&4): 243-244 (1995)
- [j5]
- [c27]
- [c26]Rupert Parson, Stephen Muggleton: An Experiment with Browsers that Learn. Machine Intelligence 15 1995: 176-184
- [c25]Stephen Muggleton, David Page: A Learnability Model for Universal Representations and Its Application to Top-down Induction of Decision Trees. Machine Intelligence 15 1995: 248-267
- [c24]Michael J. E. Sternberg, Ross D. King, Ashwin Srinivasan, Stephen Muggleton: Drug Design by Machine Learning. Machine Intelligence 15 1995: 328-338
- [e1]Koichi Furukawa, Donald Michie, Stephen Muggleton (Eds.): Machine Intelligence 14, Proceedings of the Fourteenth Machine Intelligence Workshop, held at Hitachi Advanced Research Laboratories, Tokyo, Japan, November 1993. Oxford University Press 1995
- 1994
- [j4]Stephen Muggleton: Predicate invention and utilization. J. Exp. Theor. Artif. Intell. 6(1): 121-130 (1994)
- [j3]Stephen Muggleton, Luc De Raedt: Inductive Logic Programming: Theory and Methods. J. Log. Program. 19/20: 629-679 (1994)
- [j2]Stephen Muggleton: Inductive Logic Programming: Derivations, Successes and Shortcomings. SIGART Bulletin 5(1): 5-11 (1994)
- [c23]
- [c22]
- [c21]
- [c20]Ashwin Srinivasan, Stephen Muggleton, Michael Bain: The Justification of Logical Theories based on Data Compression. Machine Intelligence 13 1994: 87-121
- [c19]Michael J. E. Sternberg, R. A. Lewis, Ross D. King, Stephen Muggleton: Machine Learning and biomolecular modelling. Machine Intelligence 13 1994: 193-212
- [c18]Michael Bain, Stephen Muggleton: Learning optimal chess strategies. Machine Intelligence 13 1994: 291-309
- 1993
- [c17]Stephen Muggleton: Optimal Layered Learning: A PAC Approach to Incremental Sampling. ALT 1993: 37-44
- [c16]Stephen Muggleton: Inductive Logic Programming: Derivations, Successes and Shortcomings. ECML 1993: 21-37
- [c15]Saso Dzeroski, Stephen Muggleton, Stuart J. Russell: Learnability of Constrained Logic Programs. ECML 1993: 342-347
- [c14]
- 1992
- [c13]Saso Dzeroski, Stephen Muggleton, Stuart J. Russell: PAC-Learnability of Determinate Logic Programs. COLT 1992: 128-135
- [c12]Stephen Muggleton: Developments in Inductive Logic Programming, Panel Position Paper. FGCS 1992: 1071-1073
- [c11]
- [c10]Stephen Muggleton, Ashwin Srinivasan, Michael Bain: Compression, Significance, and Accuracy. ML 1992: 338-347
- 1991
- [j1]
- [c9]Pavel Brazdil, Stephen Muggleton: Learning to Relate Terms in a Multiple Agent Environment. EWSL 1991: 424-439
- [c8]Ivan Bratko, Stephen Muggleton, Alen Varsek: Learning Qualitative Models of Dynamic Systems. ML 1991: 385-388
- 1990
- [b1]Stephen Muggleton: Inductive acquisition of expert knowledge. Turing Institute Pr. 1990, ISBN 978-0-201-17561-5, pp. I-XI, 1-220
- [c7]
- [c6]
1980 – 1989
- 1989
- [c5]Stephen Muggleton, Michael Bain, Jean Hayes Michie, Donald Michie: An Experimental Comparison of Human and Machine Learning Formalisms. ML 1989: 113-118
- 1988
- [c4]Stephen Muggleton: A Strategy for Constructing New Predicates in First-Order Logic. EWSL 1988: 123-130
- [c3]Stephen Muggleton, Wray L. Buntine: Machine Invention of First Order Predicates by Inverting Resolution. ML 1988: 339-352
- 1987
- [c2]
- [c1]
Coauthor Index
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last updated on 2013-10-02 11:07 CEST by the dblp team