Inductive Logic Programming: 11th International Conference, ILP 2001 Strasbourg, France, September 9–11, 2001 Proceedings

✍ Scribed by Liviu Badea (auth.), Céline Rouveirol, Michéle Sebag (eds.)

Publisher: Springer-Verlag Berlin Heidelberg
Year: 2001
Tongue: English
Leaves: 269
Series: Lecture Notes in Computer Science 2157 : Lecture Notes in Artificial Intelligence
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

This book constitutes the refereed proceedings of the 11th International Conference on Inductive Logic Programming, ILP 2001, held in Strasbourg, France in September 2001.
The 21 revised full papers presented were carefully reviewed and selected from 37 submissions. Among the topics addressed are data mining issues for multi-relational databases, supervised learning, inductive inference, Bayesian reasoning, learning refinement operators, neural network learning, constraint satisfaction, genetic algorithms, statistical machine learning, transductive inference, etc.

✦ Table of Contents

A Refinement Operator for Theories....Pages 1-14
Learning Logic Programs with Neural Networks....Pages 15-26
A Genetic Algorithm for Propositionalization....Pages 27-40
Classifying Uncovered Examples by Rule Stretching....Pages 41-50
Relational Learning Using Constrained Confidence-Rated Boosting....Pages 51-64
Induction, Abduction, and Consequence-Finding....Pages 65-79
From Shell Logs to Shell Scripts....Pages 80-90
An Automated ILP Server in the Field of Bioinformatics....Pages 91-103
Adaptive Bayesian Logic Programs....Pages 104-117
Towards Combining Inductive Logic Programming with Bayesian Networks....Pages 118-131
Demand-Driven Construction of Structural Features in ILP....Pages 132-141
Transformation-Based Learning Using Multirelational Aggregation....Pages 142-155
Discovering Associations between Spatial Objects: An ILP Application....Pages 156-163
θ -Subsumption in a Constraint Satisfaction Perspective....Pages 164-178
Learning to Parse from a Treebank: Combining TBL and ILP....Pages 179-192
Induction of Stable Models....Pages 193-205
Application of Pruning Techniques for Propositional Learning to Progol....Pages 206-219
Application of ILP to Cardiac Arrhythmia Characterization for Chronicle Recognition....Pages 220-227
Efficient Cross-Validation in ILP....Pages 228-239
Modelling Semi-structured Documents with Hedges for Deduction and Induction....Pages 240-247
Learning Functions from Imperfect Positive Data....Pages 248-259

✦ Subjects

Artificial Intelligence (incl. Robotics); Programming Techniques; Mathematical Logic and Formal Languages; Algorithm Analysis and Problem Complexity

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