Inductive Logic Programming: 15th International Conference, ILP 2005, Bonn, Germany, August 10-13, 2005, Proceedings (Lecture Notes in Computer Science, 3625)

✍ Scribed by Stefan Kramer (editor), Bernhard Pfahringer (editor)

• Publisher: Springer
• Year: 2005
• Tongue: English
• Leaves: 437
• Category: Library

✦ Synopsis

1 “Change is inevitable.” Embracing this quote we have tried to carefully exp- iment with the format of this conference, the 15th International Conference on Inductive Logic Programming, hopefully making it even better than it already was. But it will be up to you, the inquisitive reader of this book, to judge our success. The major changes comprised broadening the scope of the conference to include more diverse forms of non-propositional learning, to once again have tutorials on exciting new areas, and, for the ?rst time, to also have a discovery challenge as a platform for collaborative work. This year the conference was co-located with ICML 2005, the 22nd Inter- tional Conference on Machine Learning, and also in close proximity to IJCAI 2005, the 19th International Joint Conference on Arti?cial Intelligence. - location can be tricky, but we greatly bene?ted from the local support provided by Codrina Lauth, Michael May, and others. We were also able to invite all ILP and ICML participants to shared events including a poster session, an invited talk, and a tutorial about the exciting new area of “statistical relational lea- ing”. Two more invited talks were exclusively given to ILP participants and were presented as a kind of stock-taking―?ttingly so for the 15th event in a series―but also tried to provide a recipe for future endeavours.

✦ Table of Contents

Frontmatter
Research Papers
An Output-Polynomial Time Algorithm for Mining Frequent Closed Attribute Trees
Guiding Inference Through Relational Reinforcement Learning
Converting Semantic Meta-knowledge into Inductive Bias
Learning Teleoreactive Logic Programs from Problem Solving
A Framework for Set-Oriented Computation in Inductive Logic Programming and Its Application in Generalizing Inverse Entailment
Distance Based Generalisation
Automatic Induction of Abduction and Abstraction Theories from Observations
Logical Bayesian Networks and Their Relation to Other Probabilistic Logical Models
Strategies to Parallelize ILP Systems
Inducing Causal Laws by Regular Inference
Online Closure-Based Learning of Relational Theories
Learning Closed Sets of Labeled Graphs for Chemical Applications
ILP Meets Knowledge Engineering: A Case Study
Spatial Clustering of Structured Objects
Generalization Behaviour of Alkemic Decision Trees
Predicate Selection for Structural Decision Trees
Induction of the Indirect Effects of Actions by Monotonic Methods
Probabilistic First-Order Theory Revision from Examples
Inductive Equivalence of Logic Programs
Deriving a Stationary Dynamic Bayesian Network from a Logic Program with Recursive Loops
A Study of Applying Dimensionality Reduction to Restrict the Size of a Hypothesis Space
Polynomial Time Inductive Inference of TTSP Graph Languages from Positive Data
Classifying Relational Data with Neural Networks
Efficient Sampling in Relational Feature Spaces
Invited Papers
Why Computers Need to Learn About Music
Tutorial on Statistical Relational Learning
Machine Learning for Systems Biology
Five Problems in Five Areas for Five Years
Backmatter