12. ILP 2002: Sydney, Australia

Stan Matwin, Claude Sammut (Eds.): Inductive Logic Programming, 12th International Conference, ILP 2002, Sydney, Australia, July 9-11, 2002. Revised Papers. Lecture Notes in Computer Science 2583 Springer 2003, ISBN 3-540-00567-6 BibTeX

@proceedings{DBLP:conf/ilp/2002,
  editor    = {Stan Matwin and
               Claude Sammut},
  title     = {Inductive Logic Programming, 12th International Conference, ILP
               2002, Sydney, Australia, July 9-11, 2002. Revised Papers},
  booktitle = {ILP},
  publisher = {Springer},
  series    = {Lecture Notes in Computer Science},
  volume    = {2583},
  year      = {2003},
  isbn      = {3-540-00567-6},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

Contributed Papers

Isabelle Bournaud, Mélanie Courtine, Jean-Daniel Zucker:
Propositionalization for Clustering Symbolic Relational Descriptions. 1-16
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Mary Elaine Califf:
Efficient and Effective Induction of First Order Decision Lists. 17-31
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Chad M. Cumby, Dan Roth:
Learning with Feature Description Logics. 32-47
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Inês de Castro Dutra, David Page, Vítor Santos Costa, Jude W. Shavlik:
An Empirical Evaluation of Bagging in Inductive Logic Programming. 48-65
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Thomas Gärtner, John W. Lloyd, Peter A. Flach:
Kernels for Structured Data. 66-83
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Jesus A. Gonzalez, Lawrence B. Holder, Diane J. Cook:
Experimental Comparison of Graph-Based Relational Concept Learning with Inductive Logic Programming Systems. 84-100
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David Jensen, Jennifer Neville:
Autocorrelation and Linkage Cause Bias in Evaluation of Relational Learners. 101-116
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Jörg-Uwe Kietz:
Learnability of Description Logic Programs. 117-132
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Nicolas Lachiche, Peter A. Flach:
1BC2: A True First-Order Bayesian Classifier. 133-148
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Nada Lavrac, Filip Zelezný, Peter A. Flach:
RSD: Relational Subgroup Discovery through First-Order Feature Construction. 149-165
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Cyrille Masson, François Jacquenet:
Mining Frequent Logical Sequences with SPIRIT-L^oG. 166-181
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Stephen Moyle:
Using Theory Completion to Learn a Robot Navigation Control Program. 182-197
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Stephen Muggleton:
Learning Structure and Parameters of Stochastic Logic Programs. 198-206
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Alain Ratle, Michèle Sebag:
A Novel Approach to Machine Discovery: Genetic Programming and Stochastic Grammars. 207-222
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Kate Revoredo, Gerson Zaverucha:
Revision of First-Order Bayesian Classifiers. 223-237
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Ashwin Srinivasan:
The Applicability to ILP of Results Concerning the Ordering of Binomial Populations. 238-253
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Jan Struyf, Jan Ramon, Hendrik Blockeel:
Compact Representation of Knowledge Bases in ILP. 254-269
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Yusuke Suzuki, Kohtaro Inomae, Takayoshi Shoudai, Tetsuhiro Miyahara, Tomoyuki Uchida:
A Polynomial Time Matching Algorithm of Structured Ordered Tree Patterns for Data Mining from Semistructured Data. 270-284
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Alireza Tamaddoni-Nezhad, Stephen Muggleton:
A Genetic Algorithms Approach to ILP. 285-300
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Irene Weber:
Experimental Investigation of Pruning Methods for Relational Pattern Discovery. 301-316
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James Westendorp:
Noise-Resistant Incremental Relational Learning Using Possible Worlds. 317-332
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Filip Zelezný, Ashwin Srinivasan, David Page:
Lattice-Search Runtime Distributions May Be Heavy-Tailed. 333-345
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Invited Talk Abstract

Saso Dzeroski:
Learning in Rich Representations: Inductive Logic Programming and Computational Scientific Discovery. 346-349
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