Inductive Logic Programming : 9th International Workshop, ILP-99, Bled, Slovenia, June 24-27, 1999, Proceedings

by Dzeroski, Saso; Dzeroski, Saso; Flach, Peter A.

• ISBN13: 9783540661092
• ISBN10: 3540661093
• Format: Paperback
• Copyright: 1999-06-01
• Publisher: Springer Verlag

Summary

This book constitutes the refereed proceedings of the 9th International Conference on Inductive Logic Programming, ILP-99, held in Bled, Slovenia, in June 1999.The 24 revised papers presented were carefully reviewed and selected from 40 submissions. Also included are abstracts of three invited contributions. The papers address all current issues in inductive logic programming and inductive learning, from foundational and methodological issues to applications, e.g. in natural language processing, knowledge discovery, and data mining.

Table of Contents

Invited Papers
Probabilistic Relational Models	p. 3
Inductive Databases (Abstract)	p. 14
Some Elements of Machine Learning (Extended Abstract)	p. 15
Contributed Papers
Refinement Operators Can Be (Weakly) Perfect	p. 21
Combining Divide-and-Conquer and Separate-and-Conquer for Efficient and Effective Rule Induction	p. 33
Refining Complete Hypotheses in ILP	p. 44
Acquiring Graphic Design Knowledge with Nonmonotonic Inductive Learning	p. 56
Morphosyntactic Tagging of Slovene Using Progol	p. 68
Experiments in Predicting Biodegradability	p. 80
1BC: A First-Order Bayesian Classifier	p. 92
Sorted Downward Refinement: Building Background Knowledge into a Refinement Operator for Inductive Logic Programming	p. 104
A Strong Complete Schema for Inductive Functional Logic Programming	p. 116
Application of Different Learning Methods to Hungarian Part-of-Speech Tagging	p. 128
Combining LAPIS and WordNet for the Learning of LR Parsers with Optimal Semantic Constraints	p. 140
Learning Word Segmentation Rules for Tag Prediction	p. 152
Approximate ILP Rules by Backpropagation Neural Network: A Result on Thai Character Recognition	p. 162
Rule Evaluation Measures: A Unifying View	p. 174
Improving Part-of-Speech Disambiguation Rules by Adding Linguistic Knowledge	p. 186
On Sufficient Conditions for Learnability of Logic Programs from Positive Data	p. 198
A Bounded Search Space of Clausal Theories	p. 210
Discovering New Knowledge from Graph Data Using Inductive Logic Programming	p. 222
Analogical Prediction	p. 234
Generalizing Refinement Operators to Learn Prenex Conjunctive Normal Forms	p. 245
Theory Recovery	p. 257
Instance Based Function Learning	p. 268
Some Properties of Inverse Resolution in Normal Logic Programs	p. 279
An Assessment of ILP-Assisted Models for Toxicology and the PTE-3 Experiment	p. 291
Author Index	p. 303
Table of Contents provided by Publisher. All Rights Reserved.