Publications
280 results found
Muggleton S, Lodhi H, Amini A, et al., 2005, Support vector inductive logic programming, Berlin, 8th International Conference on Discovery Science, 8 - 11 October 2005, Singapore, SINGAPORE, Publisher: Springer-Verlag, Pages: 163-175
Raedt LD, Dietterich TG, Getoor L, et al., 2005, 05051 Abstracts Collection - Probabilistic, Logical and Relational Learning - Towards a Synthesis., Publisher: Internationales Begegnungs- und Forschungszentrum für Informatik (IBFI), Schloss Dagstuhl, Germany
Lodhi H, Muggleton S, 2005, Computing confidence measures in stochastic logic programs, Berlin, 4th Mexican International Conference on Artificial Intelligence (MICAI 2005), 14 - 18 November 2005, Monterrey, MEXICO, Publisher: Springer-Verlag, Pages: 890-899
Lodhi H, Muggleton S, 2005, Modelling metabolic pathways using Stochastic logic programs-based ensemble methods, Berlin, 2nd international workshop on computational methods in systems biology (CMSB 2004), Paris, France, 26 - 28 May 2004, Publisher: Springer-Verlag Berlin, Pages: 119-133
Raedt LD, Dietterich TG, Getoor L, et al., 2005, 05051 Executive Summary - Probabilistic, Logical and Relational Learning - Towards a Synthesis., Publisher: Internationales Begegnungs- und Forschungszentrum für Informatik (IBFI), Schloss Dagstuhl, Germany
Muggleton SH, 2005, Machine learning for systems biology, Inductive Logic Programming, Proceedings, Vol: 3625, Pages: 416-423, ISSN: 0302-9743
Tamaddoni-Nezhad A, Chaleil R, Kakas A, et al., 2005, Abduction and induction for learning models of inhibition in metabolic networks, Los Alamitos, 4th international conference on machine learning and applications, 15 - 17 December 2005, Los Angeles, CA, Publisher: Ieee Computer Soc, Pages: 233-238
Tamaddoni-Nezhad A, Chaleil R, Kakas A, et al., 2005, Abduction and induction for learning models of inhibition in metabolic networks, Los Alamitos, 4th international conference on machine learning and applications, 15 - 17 December 2005, Los Angeles, CA, Publisher: Ieee Computer Soc, Pages: 233-238
King RD, Whelan KE, Jones FM, et al., 2004, Functional genomic hypothesis generation and experimentation by a robot scientist, NATURE, Vol: 427, Pages: 247-252, ISSN: 0028-0836
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- Citations: 356
Tamaddoni-Nezhad A, Kakas A, Muggleton S, et al., 2004, Modelling inhibition in metabolic pathways through abduction and induction, Berlin, 14th international conference on inductive logic programming (ILP 2004), Porto, Portugal, Publisher: Springer-Verlag, Pages: 305-322
Tamaddoni-Nezhad A, Kakas A, Muggleton S, et al., 2004, Modelling inhibition in metabolic pathways through abduction and induction, Berlin, 14th international conference on inductive logic programming (ILP 2004), Porto, Portugal, Publisher: Springer-Verlag, Pages: 305-322
Cootes AP, Muggleton SH, Sternberg MJE, 2003, The automatic discovery of structural principles describing protein fold space, JOURNAL OF MOLECULAR BIOLOGY, Vol: 330, Pages: 839-850, ISSN: 0022-2836
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- Citations: 14
Sternberg MJE, Muggleton SH, 2003, Structure activity relationships (SAR) and pharmacophore discovery using Inductive Logic Programming (ILP), QSAR & COMBINATORIAL SCIENCE, Vol: 22, Pages: 527-532, ISSN: 1611-020X
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- Citations: 19
Puech A, Muggleton SH, 2003, A comparison of Stochastic logic programs and Bayesian logic programs, IJCAI03 workshop on learning statistical models from relational data, IJCAI, 2003
Tamaddoni-Nezhad A, Muggleton S, 2003, A genetic algorithms approach to ILP, Berlin, 12th international conference on inductive logic programming, Sydney, Australia, 2002, Publisher: Springer-Verlag, Pages: 285-300
Bang JW, Pappas A, Gillies D, et al., 2003, Interpretation of hidden node methodology in automated classification of neural cell morphology, Athens, International conference on mathematics and engineering techniques in medicine and biological science, Las Vegas, Nevada, 2003, Publisher: C S R e A Press, Pages: 527-532
Tamaddoni-Nezhad A, Muggleton S, 2003, A genetic algorithms approach to ILP, Berlin, 12th international conference on inductive logic programming, Sydney, Australia, 2002, Publisher: Springer-Verlag, Pages: 285-300
Tamaddoni-Nezhad A, Muggleton S, Bang J, 2003, A Bayesian model for metabolic pathways, International joint conference on artificial intelligence (IJCAI03) workshop on learning statistical models from relational data, IJCAI, 2003, Pages: 50-57
Bang JW, Pappas A, Gillies D, et al., 2003, Interpretation of hidden node methodology in automated classification of neural cell morphology, Athens, International conference on mathematics and engineering techniques in medicine and biological science, Las Vegas, Nevada, 2003, Publisher: C S R e A Press, Pages: 527-532
Colton S, Muggleton S, 2003, ILP for mathematical discovery, Berlin, 13th international conference on inductive logic programming, Szeged, Hungary, Publisher: Springer-Verlag, Pages: 93-111
Muggleton S, 2003, Learning structure and parameters of Stochastic Logic Programs, Berlin, 12th international conference on inductive logic programming, Sydney, Australia, 2002, Publisher: Springer-Verlag, Pages: 198-206
Muggleton S, Tamaddoni-Nezhad A, Watanabe H, 2003, Induction of enzyme classes from biological databases, Berlin, 13th international conference on inductive logic programming, Szeged, Hungary, Publisher: Springer-Verlag, Pages: 269-280
Muggleton S, Tamaddoni-Nezhad A, Watanabe H, 2003, Induction of enzyme classes from biological databases, Berlin, 13th international conference on inductive logic programming, Szeged, Hungary, Publisher: Springer-Verlag, Pages: 269-280
Chertkov M, Ecke B, Eyink G, et al., 2003, Preface, Journal of Statistical Physics, Vol: 113, Pages: 637-642, ISSN: 0022-4715
Colton S, Muggleton S, 2003, ILP for mathematical discovery, Berlin, 13th international conference on inductive logic programming, Szeged, Hungary, Publisher: Springer-Verlag, Pages: 93-111
Muggleton S, 2002, Learning structure and parameters of stochastic logic programs
This paper introduced the first machine learned ``encyclopedia''\r\nof the common protein-fold structures. The Journal of Molecular\r\nBiology is the premier journal in this area.\r\n\r\nPrevious papers have studied learning of Stochastic Logic Programs (SLPs) either as a purely parametric estimation problem or separated structure learning and parameter estimation into separate phases. In this paper we consider ways in which both the structure and the parameters of an SLP can be learned simultaneously. The paper assumes an ILP algorithm, such as Progol or FOIL, in which clauses are constructed independently. We derive analytical and numerical methods for efficient computation of the optimal probability parameters for a single clause choice within such a search. An implementation of this approach in Progol4.5 is demonstrated. \r\nhttp://www.ep.liu.se/ea/cis/2002/016/
Watanabe H, Muggleton S, 2002, A stochastic action language A, Departmental Technical Report: 02/2, Publisher: Department of Computing, Imperial College London, 02/2
In this paper we present a new stochastic nondeterministichigh-level action language SAA which isa stochastic extension of Action Language A. We describethe syntax and semantics of SAA and show ithas an equivalent expressive power to Hidden MarkovModels (HMMs). The main advantage of SAA is itssmooth conversion of propositions and probability, anduse of a well-established stochastic model. We showtwo simple examples in the nuclear reactor domain andpropose a normalisation technique for declarative probabilityassignments which match our intuition.
Fidjeland A, Luk W, Muggleton S, 2002, Scalable acceleration of inductive logic programs, New York, IEEE international conference on field-programmable technology (FPT), Chinese Univ Hong Kong, New Territories, Peoples Republic of China, 2002, Publisher: I e e e, Pages: 252-259
Angelopoulos N, Muggleton SH, 2002, Machine learning metabolic pathway descriptions using a probabilistic relational representation, Electronic Transactions in Artificial Intelligence, Vol: 6
Fidjeland A, Luk W, Muggleton S, 2002, Scalable acceleration of inductive logic programs, New York, IEEE international conference on field-programmable technology (FPT), Chinese Univ Hong Kong, New Territories, Peoples Republic of China, 2002, Publisher: I e e e, Pages: 252-259
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