Inductive Logic Programming

12th International Conference, ILP 2002, Sydney, Australia, July 9-11, 2002. Revised Papers

By: Stan Matwin (Editor), Claude Sammut (Editor)

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Paperback | 12 February 2003

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The Twelfth International Conference on Inductive Logic Programming was held in Sydney, Australia, July 9-11, 2002. The conference was colocated with two other events, the Nineteenth International Conference on Machine Learning (ICML2002) and the Fifteenth Annual Conference on Computational Learning Theory (COLT2002). Startedin1991,InductiveLogicProgrammingistheleadingannualforumfor researchers working in Inductive Logic Programming and Relational Learning. Continuing a series of international conferences devoted to Inductive Logic Programming and Relational Learning, ILP 2002 was the central event in 2002 for researchers interested in learning relational knowledge from examples. The Program Committee, following a resolution of the Community Me- ing in Strasbourg in September 2001, took upon itself the issue of the possible change of the name of the conference. Following an extended e-mail discussion, a number of proposed names were subjected to a vote. In the ?rst stage of the vote, two names were retained for the second vote. The two names were: Ind- tive Logic Programming, and Relational Learning. It had been decided that a 60% vote would be needed to change the name; the result of the vote was 57% in favor of the name Relational Learning. Consequently, the name Inductive Logic Programming was kept.

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You Can Find This Book In

Non-Fiction Computing & I.T.Computer Science Computer Architecture & Logic Design Computer Programming & Software Development Object-Oriented Programming or OOP Artificial Intelligence Software Engineering Mathematics Mathematical Foundation Mathematical Logic Databases

Algorithms & Data Structures Programming & Scripting Languages

Propositionalization for Clustering Symbolic Relational Descriptions	p. 1
Efficient and Effective Induction of First Order Decision Lists	p. 17
Learning with Feature Description Logics	p. 32
An Empirical Evaluation of Bagging in Inductive Logic Programming	p. 48
Kernels for Structured Data	p. 66
Experimental Comparison of Graph-Based Relational Concept Learning with Inductive Logic Programming Systems	p. 84
Autocorrelation and Linkage Cause Bias in Evaluation of Relational Learners	p. 101
Learnability of Description Logic Programs	p. 117
1BC2: A True First-Order Bayesian Classifier	p. 133
RSD: Relational Subgroup Discovery through First-Order Feature Construction	p. 149
Mining Frequent Logical Sequences with SPIRIT-L[superscript o]G	p. 166
Using Theory Completion to Learn a Robot Navigation Control Program	p. 182
Learning Structure and Parameters of Stochastic Logic Programs	p. 198
A Novel Approach to Machine Discovery: Genetic Programming and Stochastic Grammars	p. 207
Revision of First-Order Bayesian Classifiers	p. 223
The Applicability to ILP of Results Concerning the Ordering of Binomial Populations	p. 238
Compact Representation of Knowledge Bases in ILP	p. 254
A Polynomial Time Matching Algorithm of Structured Ordered Tree Patterns for Data Mining from Semistructured Data	p. 270
A Genetic Algorithms Approach to ILP	p. 285
Experimental Investigation of Pruning Methods for Relational Pattern Discovery	p. 301
Noise-Resistant Incremental Relational Learning Using Possible Worlds	p. 317
Lattice-Search Runtime Distributions May Be Heavy-Tailed	p. 333
Learning in Rich Representations: Inductive Logic Programming and Computational Scientific Discovery	p. 346
Author Index	p. 351
Table of Contents provided by Blackwell. All Rights Reserved.

Inductive Logic Programming

12th International Conference, ILP 2002, Sydney, Australia, July 9-11, 2002. Revised Papers

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