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

✍ Scribed by Daphne Koller (auth.), Sašo Džeroski, Peter Flach (eds.)

• Publisher: Springer-Verlag Berlin Heidelberg
• Year: 1999
• Tongue: English
• Leaves: 307
• Series: Lecture Notes in Computer Science 1634 : Lecture Notes in Artificial Intelligence
• Edition: 1
• Category: Library

✦ Synopsis

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

Probabilistic Relational Models....Pages 3-13
Inductive Databases....Pages 14-14
Some Elements of Machine Learning....Pages 15-18
Refinement Operators Can Be (Weakly) Perfect....Pages 21-32
Combining Divide-and-Conquer and Separate-and-Conquer for Efficient and Effective Rule Induction....Pages 33-43
Refining Complete Hypotheses in ILP....Pages 44-55
Acquiring Graphic Design Knowledge with Nonmonotonic Inductive Learning....Pages 56-67
Morphosyntactic Tagging of Slovene Using Progol....Pages 68-79
Experiments in Predicting Biodegradability....Pages 80-91
1BC: A First-Order Bayesian Classifier....Pages 92-103
Sorted Downward Refinement: Building Background Knowledge into a Refinement Operator for Inductive Logic Programming....Pages 104-115
A Strong Complete Schema for Inductive Functional Logic Programming....Pages 116-127
Application of Different Learning Methods to Hungarian Part-of-Speech Tagging....Pages 128-139
Combining LAPIS and WordNet for the Learning of LR Parsers with Optimal Semantic Constraints....Pages 140-151
Learning Word Segmentation Rules for Tag Prediction....Pages 152-161
Approximate ILP Rules by Backpropagation Neural Network: A Result on Thai Character Recognition....Pages 162-173
Rule Evaluation Measures: A Unifying View....Pages 174-185
Improving Part of Speech Disambiguation Rules by Adding Linguistic Knowledge....Pages 186-197
On Sufficient Conditions for Learnability of Logic Programs from Positive Data....Pages 198-209
A Bounded Search Space of Clausal Theories....Pages 210-221
Discovering New Knowledge from Graph Data Using Inductive Logic Programming....Pages 222-233
Analogical Prediction....Pages 234-244
Generalizing Refinement Operators to Learn Prenex Conjunctive Normal Forms....Pages 245-256
Theory Recovery....Pages 257-267
Instance based function learning....Pages 268-278
Some Properties of Inverse Resolution in Normal Logic Programs....Pages 279-290
An Assessment of ILP-assisted models for toxicology and the PTE-3 experiment....Pages 291-302

✦ Subjects

Artificial Intelligence (incl. Robotics); Programming Techniques