 | 2009 |
|---|
| 112 |       | Huma Lodhi,
Stephen Muggleton,
Michael J. E. Sternberg:
Learning Large Margin First Order Decision Lists for Multi-Class Classification.
Discovery Science 2009: 168-183 |
| 111 | | José Carlos Almeida Santos,
Alireza Tamaddoni-Nezhad,
Stephen Muggleton:
An ILP System for Learning Head Output Connected Predicates.
EPIA 2009: 150-159 |
| 110 | | 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 |
| 109 | | 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) |
| 2008 |
|---|
| 108 |  | Luc De Raedt,
Thomas G. Dietterich,
Lise Getoor,
Kristian Kersting,
Stephen Muggleton:
Probabilistic, Logical and Relational Learning - A Further Synthesis, 15.04. - 20.04.2007
Internationales Begegnungs- und Forschungszentrum fuer Informatik (IBFI), Schloss Dagstuhl, Germany 2008 |
| 107 | | Luc De Raedt,
Paolo Frasconi,
Kristian Kersting,
Stephen Muggleton:
Probabilistic Inductive Logic Programming - Theory and Applications
Springer 2008 |
| 106 | | Andreas Fidjeland,
Wayne Luk,
Stephen Muggleton:
A Customisable Multiprocessor for Application-Optimised Inductive Logic Programming.
BCS Int. Acad. Conf. 2008: 318-330 |
| 105 | | Stephen Muggleton,
José Carlos Almeida Santos,
Alireza Tamaddoni-Nezhad:
TopLog: ILP Using a Logic Program Declarative Bias.
ICLP 2008: 687-692 |
| 104 | | Alireza Tamaddoni-Nezhad,
Stephen Muggleton:
A Note on Refinement Operators for IE-Based ILP Systems.
ILP 2008: 297-314 |
| 103 | | 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 |
| 102 | | Stephen Muggleton,
Jianzhong Chen:
A Behavioral Comparison of Some Probabilistic Logic Models.
Probabilistic Inductive Logic Programming 2008: 305-324 |
| 101 | | Stephen Muggleton:
Developing Robust Synthetic Biology Designs Using a Microfluidic Robot Scientist.
SBIA 2008: 4 |
| 100 | | Stephen Muggleton:
From ILP to PILP.
SBIA 2008: 7 |
| 99 | | Stephen Muggleton,
Ramón P. Otero,
Simon Colton:
Guest editorial: special issue on Inductive Logic Programming.
Machine Learning 70(2-3): 119-120 (2008) |
| 98 | | Stephen Muggleton,
Alireza Tamaddoni-Nezhad:
QG/GA: a stochastic search for Progol.
Machine Learning 70(2-3): 121-133 (2008) |
| 97 | | 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) |
| 96 | | Jianzhong Chen,
Stephen Muggleton,
José Carlos Almeida Santos:
Learning probabilistic logic models from probabilistic examples.
Machine Learning 73(1): 55-85 (2008) |
| 2007 |
|---|
| 95 | | Stephen Muggleton,
Ramón P. Otero,
Alireza Tamaddoni-Nezhad:
Inductive Logic Programming, 16th International Conference, ILP 2006, Santiago de Compostela, Spain, August 24-27, 2006, Revised Selected Papers
Springer 2007 |
| 94 | | Jianzhong Chen,
Stephen Muggleton,
Jose Santos:
Learning Probabilistic Logic Models from Probabilistic Examples (Extended Abstract).
ILP 2007: 22-23 |
| 93 | | Jianzhong Chen,
Stephen Muggleton,
Jose Santos:
Abductive Stochastic Logic Programs for Metabolic Network Inhibition Learning.
MLG 2007 |
| 92 | | 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 |
| 2006 |
|---|
| 91 | | Luc De Raedt,
Thomas G. Dietterich,
Lise Getoor,
Stephen Muggleton:
Probabilistic, Logical and Relational Learning - Towards a Synthesis, 30. January - 4. February 2005
Internationales Begegnungs- und Forschungszentrum für Informatik (IBFI), Schloss Dagstuhl, Germany 2006 |
| 90 | | Stephen Muggleton:
Towards Chemical Universal Turing Machines.
AAAI 2006 |
| 89 | | Jianzhong Chen,
Lawrence A. Kelley,
Stephen Muggleton,
Michael J. E. Sternberg:
Multi-class Prediction Using Stochastic Logic Programs.
ILP 2006: 109-124 |
| 88 | | Stephen Muggleton,
Niels Pahlavi:
The Complexity of Translating BLPs to RMMs.
ILP 2006: 351-365 |
| 87 | | Stephen Muggleton,
Alireza Tamaddoni-Nezhad:
QG/GA: A Stochastic Search for Progol.
ILP 2006: 37-39 |
| 86 | | 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) |
| 85 | | Simon Colton,
Stephen Muggleton:
Mathematical applications of inductive logic programming.
Machine Learning 64(1-3): 25-64 (2006) |
| 2005 |
|---|
| 84 | | Stephen Muggleton,
Huma Lodhi,
Ata Amini,
Michael J. E. Sternberg:
Support Vector Inductive Logic Programming.
Discovery Science 2005: 163-175 |
| 83 | | Stephen Muggleton:
Machine Learning for Systems Biology.
ILP 2005: 416-423 |
| 82 | | Hiroaki Watanabe,
Stephen Muggleton:
Learning Stochastic Logical Automaton.
JSAI Workshops 2005: 201-211 |
| 81 | | Huma Lodhi,
Stephen Muggleton:
Computing Confidence Measures in Stochastic Logic Programs.
MICAI 2005: 890-899 |
| 80 | | 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 |
| 79 | | 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 |
| 2004 |
|---|
| 78 | | Huma Lodhi,
Stephen Muggleton:
Modelling Metabolic Pathways Using Stochastic Logic Programs-Based Ensemble Methods.
CMSB 2004: 119-133 |
| 77 | | Alireza Tamaddoni-Nezhad,
Antonis C. Kakas,
Stephen Muggleton,
Florencio Pazos:
Modelling Inhibition in Metabolic Pathways Through Abduction and Induction.
ILP 2004: 305-322 |
| 2003 |
|---|
| 76 | | Stephen Muggleton,
Alireza Tamaddoni-Nezhad,
Hiroaki Watanabe:
Induction of Enzyme Classes from Biological Databases.
ILP 2003: 269-280 |
| 75 | | Simon Colton,
Stephen Muggleton:
ILP for Mathematical Discovery.
ILP 2003: 93-111 |
| 74 | | 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 |
|---|
| 73 | | Stephen Muggleton:
Learning Structure and Parameters of Stochastic Logic Programs.
ILP 2002: 198-206 |
| 72 | | Alireza Tamaddoni-Nezhad,
Stephen Muggleton:
A Genetic Algorithms Approach to ILP.
ILP 2002: 285-300 |
| 71 | | 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) |
| 2001 |
|---|
| 70 | | 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) |
| 69 | | 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) |
| 68 | | 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) |
| 67 | | 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) |
| 66 | | 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 |
|---|
| 65 | | 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 |
| 64 | | Stephen Muggleton,
Christopher H. Bryant,
Ashwin Srinivasan:
Learning Chomsky-like Grammars for Biological Sequence Families.
ICML 2000: 631-638 |
| 63 | | Stephen Muggleton,
Christopher H. Bryant:
Theory Completion Using Inverse Entailment.
ILP 2000: 130-146 |
| 62 | | Alireza Tamaddoni-Nezhad,
Stephen Muggleton:
Searching the Subsumption Lattice by a Genetic Algorithm.
ILP 2000: 243-252 |
| 61 | | 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) |
| 60 | | Stephen Muggleton:
Learning Stochastic Logic Programs.
Electron. Trans. Artif. Intell. 4(B): 141-153 (2000) |
| 1999 |
|---|
| 59 | | Koichi Furukawa,
Donald Michie,
Stephen Muggleton:
Machine Intelligence 15, Intelligent Agents [St. Catherine's College, Oxford, July 1995]
Oxford University Press 1999 |
| 58 | | Stephen Muggleton,
Michael Bain:
Analogical Prediction.
ILP 1999: 234-244 |
| 57 | | Rupert Parson,
Khalid Khan,
Stephen Muggleton:
Theory Recovery.
ILP 1999: 257-267 |
| 56 | | Stephen Muggleton:
Inductive Logic Programming: Issues, Results and the Challenge of Learning Language in Logic.
Artif. Intell. 114(1-2): 283-296 (1999) |
| 55 | | Stephen Muggleton:
Scientific Knowledge Discovery Using Inductive Logic Programming.
Commun. ACM 42(11): 42-46 (1999) |
| 54 | | Stephen Muggleton,
David Page:
Guest Editors' Introduction: Inductive Logic Programming.
J. Log. Program. 40(2-3): 125-126 (1999) |
| 1998 |
|---|
| 53 | | Stephen Muggleton,
Ashwin Srinivasan,
Ross D. King,
Michael J. E. Sternberg:
Biochemical Knowledge Discovery Using Inductive Logic Programming.
Discovery Science 1998: 326-341 |
| 52 | | Stephen Muggleton:
Knowledge Discovery in Biological and Chemical Domains.
Discovery Science 1998: 58-59 |
| 51 | | Stephen Muggleton:
Inductive Logic Programming: Issues, Results and the LLL Challenge (abstract).
ECAI 1998: 697 |
| 50 | | Khalid Khan,
Stephen Muggleton,
Rupert Parson:
Repeat Learning Using Predicate Invention.
ILP 1998: 165-174 |
| 49 | | Stephen Muggleton:
Completing Inverse Entailment.
ILP 1998: 245-249 |
| 48 | | Saso Dzeroski,
Nico Jacobs,
Martín Molina,
Carlos Moure,
Stephen Muggleton,
Wim Van Laer:
Detecting Traffic Problems with ILP.
ILP 1998: 281-290 |
| 47 | | 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 |
| 46 | | 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 |
| 45 | | Stephen Muggleton:
Advances in ILP Theory and Implementations (Abstract).
ILP 1998: 9 |
| 44 | | 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) |
| 1997 |
|---|
| 43 | | Stephen Muggleton:
Inductive Logic Programming, 6th International Workshop, ILP-96, Stockholm, Sweden, August 26-28, 1996, Selected Papers
Springer 1997 |
| 42 | | Ashwin Srinivasan,
Ross D. King,
Stephen Muggleton,
Michael J. E. Sternberg:
The Predictive Toxicology Evaluation Challenge.
IJCAI (1) 1997: 4-9 |
| 41 | | Stephen Moyle,
Stephen Muggleton:
Learning Programs in the Event Calculus.
ILP 1997: 205-212 |
| 40 | | Ashwin Srinivasan,
Ross D. King,
Stephen Muggleton,
Michael J. E. Sternberg:
Carcinogenesis Predictions Using ILP.
ILP 1997: 273-287 |
| 39 | | Stephen Muggleton,
Donald Michie:
Machine Intelligibility and the Duality Principle.
Software Agents and Soft Computing 1997: 276-292 |
| 38 | | Stephen Muggleton,
David Page:
Guest Editors' Introduction.
Machine Learning 26(2-3): 97-98 (1997) |
| 1996 |
|---|
| 37 | | 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 |
| 36 | | Stephen Muggleton:
Learning from Positive Data.
Inductive Logic Programming Workshop 1996: 358-376 |
| 35 | | 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) |
| 1995 |
|---|
| 34 | | Koichi Furukawa,
Donald Michie,
Stephen Muggleton:
Machine Intelligence 14, Proceedings of the Fourteenth Machine Intelligence Workshop, held at Hitachi Advanced Research Laboratories, Tokyo, Japan, November 1993
Oxford University Press 1995 |
| 33 | | Stephen Muggleton:
Inductive Logic Programming: Inverse Resolution and Beyond.
IJCAI (1) 1995: 997 |
| 32 | | Rupert Parson,
Stephen Muggleton:
An Experiment with Browsers that Learn.
Machine Intelligence 15 1995: 176-184 |
| 31 | | 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 |
| 30 | | Michael J. E. Sternberg,
Ross D. King,
Ashwin Srinivasan,
Stephen Muggleton:
Drug Design by Machine Learning.
Machine Intelligence 15 1995: 328-338 |
| 29 | | Ivan Bratko,
Stephen Muggleton:
Applications of Inductive Logic Programming.
Commun. ACM 38(11): 65-70 (1995) |
| 28 | | Stephen Muggleton,
Fumio Mizoguchi,
Koichi Furukawa:
Special Issue on Inductive Logic Programming.
New Generation Comput. 13(3&4): 243-244 (1995) |
| 27 | | Stephen Muggleton:
Inverse Entailment and Progol.
New Generation Comput. 13(3&4): 245-286 (1995) |
| 1994 |
|---|
| 26 | | Stephen Muggleton:
Bayesian Inductive Logic Programming.
COLT 1994: 3-11 |
| 25 | | Stephen Muggleton:
Bayesian Inductive Logic Programming.
ICML 1994: 371-379 |
| 24 | | Michael J. E. Sternberg,
R. A. Lewis,
Ross D. King,
Stephen Muggleton:
Machine Learning and biomolecular modelling.
Machine Intelligence 13 1994: 193-212 |
| 23 | | Michael Bain,
Stephen Muggleton:
Learning optimal chess strategies.
Machine Intelligence 13 1994: 291-309 |
| 22 | | Stephen Muggleton:
Logic and Learning: Turing's legacy.
Machine Intelligence 13 1994: 37-56 |
| 21 | | Ashwin Srinivasan,
Stephen Muggleton,
Michael Bain:
The Justification of Logical Theories based on Data Compression.
Machine Intelligence 13 1994: 87-121 |
| 20 | | Stephen Muggleton,
Luc De Raedt:
Inductive Logic Programming: Theory and Methods.
J. Log. Program. 19/20: 629-679 (1994) |
| 19 | | Stephen Muggleton:
Inductive Logic Programming: Derivations, Successes and Shortcomings.
SIGART Bulletin 5(1): 5-11 (1994) |
| 1993 |
|---|
| 18 | | Stephen Muggleton:
Optimal Layered Learning: A PAC Approach to Incremental Sampling.
ALT 1993: 37-44 |
| 17 | | Stephen Muggleton:
Inductive Logic Programming: Derivations, Successes and Shortcomings.
ECML 1993: 21-37 |
| 16 | | Saso Dzeroski,
Stephen Muggleton,
Stuart J. Russell:
Learnability of Constrained Logic Programs.
ECML 1993: 342-347 |
| 15 | | Stephen Muggleton:
Inverting Entailment and Progol.
Machine Intelligence 14 1993: 135-190 |
| 1992 |
|---|
| 14 | | Saso Dzeroski,
Stephen Muggleton,
Stuart J. Russell:
PAC-Learnability of Determinate Logic Programs.
COLT 1992: 128-135 |
| 13 | | Stephen Muggleton:
Developments in Inductive Logic Programming, Panel Position Paper.
FGCS 1992: 1071-1073 |
| 12 | | Cao Feng,
Stephen Muggleton:
Towards Inductive Generalization in Higher Order Logic.
ML 1992: 154-162 |
| 11 | | Stephen Muggleton,
Ashwin Srinivasan,
Michael Bain:
Compression, Significance, and Accuracy.
ML 1992: 338-347 |
| 1991 |
|---|
| 10 | | Pavel Brazdil,
Stephen Muggleton:
Learning to Relate Terms in a Multiple Agent Environment.
EWSL 1991: 424-439 |
| 9 | | Ivan Bratko,
Stephen Muggleton,
Alen Varsek:
Learning Qualitative Models of Dynamic Systems.
ML 1991: 385-388 |
| 8 | | Stephen Muggleton:
Inductive Logic Programming.
New Generation Comput. 8(4): 295- (1991) |
| 1990 |
|---|
| 7 | | Stephen Muggleton,
Cao Feng:
Efficient Induction of Logic Programs.
ALT 1990: 368-381 |
| 6 | | Stephen Muggleton:
Inductive Logic Programming.
ALT 1990: 42-62 |
| 1989 |
|---|
| 5 | | Stephen Muggleton,
Michael Bain,
Jean Hayes Michie,
Donald Michie:
An Experimental Comparison of Human and Machine Learning Formalisms.
ML 1989: 113-118 |
| 1988 |
|---|
| 4 | | Stephen Muggleton:
A Strategy for Constructing New Predicates in First-Order Logic.
EWSL 1988: 123-130 |
| 3 | | Stephen Muggleton,
Wray L. Buntine:
Machine Invention of First Order Predicates by Inverting Resolution.
ML 1988: 339-352 |
| 1987 |
|---|
| 2 | | Stephen Muggleton:
Structuring Knowledge by Asking Questions.
EWSL 1987: 218-229 |
| 1 | | Stephen Muggleton:
Duce, An Oracle-based Approach to Constructive Induction.
IJCAI 1987: 287-292 |
