Inductive logic programming : 12th International Conference, ILP 2002, Sydney, Australia, July 9-11, 2002 : revised papers

Stan Matwin, Claude Sammut (eds.)

This book constitutes the thoroughly refereed post-proceedings of the 12th International Conference on Inductive Logic Programming, ILP 2002, held in Sydney, Australia in July 2002. The 22 revised full papers presented were carefully selected during two rounds of reviewing and revision from 45 submissions. Among the topics addressed are first order decision lists, learning with description logics, bagging in ILP, kernel methods, concept learning, relational learners, description logic programs, Bayesian classifiers, knowledge discovery, data mining, logical sequences, theory learning, stochastic logic programs, machine discovery, and relational pattern discovery.

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[目次]

  • Contributed Papers.- Propositionalization for Clustering Symbolic Relational Descriptions.- Efficient and Effective Induction of First Order Decision Lists.- Learning with Feature Description Logics.- An Empirical Evaluation of Bagging in Inductive Logic Programming.- Kernels for Structured Data.- Experimental Comparison of Graph-Based Relational Concept Learning with Inductive Logic Programming Systems.- Autocorrelation and Linkage Cause Bias in Evaluation of Relational Learners.- Learnability of Description Logic Programs.- 1BC2: A True First-Order Bayesian Classifier.- RSD: Relational Subgroup Discovery through First-Order Feature Construction.- Mining Frequent Logical Sequences with SPIRIT-LoG.- Using Theory Completion to Learn a Robot Navigation Control Program.- Learning Structure and Parameters of Stochastic Logic Programs.- A Novel Approach to Machine Discovery: Genetic Programming and Stochastic Grammars.- Revision of First-Order Bayesian Classifiers.- The Applicability to ILP of Results Concerning the Ordering of Binomial Populations.- Compact Representation of Knowledge Bases in ILP.- A Polynomial Time Matching Algorithm of Structured Ordered Tree Patterns for Data Mining from Semistructured Data.- A Genetic Algorithms Approach to ILP.- Experimental Investigation of Pruning Methods for Relational Pattern Discovery.- Noise-Resistant Incremental Relational Learning Using Possible Worlds.- Lattice-Search Runtime Distributions May Be Heavy-Tailed.- Invited Talk Abstracts.- Learning in Rich Representations: Inductive Logic Programming and Computational Scientific Discovery.

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この本の情報

書名 Inductive logic programming : 12th International Conference, ILP 2002, Sydney, Australia, July 9-11, 2002 : revised papers
著作者等 ILP
Matwin, Stan
Sammut Claude (University of New South Wales Sydney Australia)
Sammut Claude
シリーズ名 Lecture notes in computer science
出版元 Springer
刊行年月 c2003
ページ数 x, 349 p.
大きさ 24 cm
ISBN 3540005676
NCID BA61261861
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言語 英語
出版国 ドイツ
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