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.
Author(s): Hiroki Arimura, Takeaki Uno (auth.), Stefan Kramer, Bernhard Pfahringer (eds.)
Series: Lecture Notes in Computer Science 3625 : Lecture Notes in Artificial Intelligence
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 2005
Language: English
Pages: 434
Tags: Artificial Intelligence (incl. Robotics); Programming Techniques; Mathematical Logic and Formal Languages; Algorithm Analysis and Problem Complexity
Front Matter....Pages -
An Output-Polynomial Time Algorithm for Mining Frequent Closed Attribute Trees....Pages 1-19
Guiding Inference Through Relational Reinforcement Learning....Pages 20-37
Converting Semantic Meta-knowledge into Inductive Bias....Pages 38-50
Learning Teleoreactive Logic Programs from Problem Solving....Pages 51-68
A Framework for Set-Oriented Computation in Inductive Logic Programming and Its Application in Generalizing Inverse Entailment....Pages 69-86
Distance Based Generalisation....Pages 87-102
Automatic Induction of Abduction and Abstraction Theories from Observations....Pages 103-120
Logical Bayesian Networks and Their Relation to Other Probabilistic Logical Models....Pages 121-135
Strategies to Parallelize ILP Systems....Pages 136-153
Inducing Causal Laws by Regular Inference....Pages 154-171
Online Closure-Based Learning of Relational Theories....Pages 172-189
Learning Closed Sets of Labeled Graphs for Chemical Applications....Pages 190-208
ILP Meets Knowledge Engineering: A Case Study....Pages 209-226
Spatial Clustering of Structured Objects....Pages 227-245
Generalization Behaviour of Alkemic Decision Trees....Pages 246-263
Predicate Selection for Structural Decision Trees....Pages 264-278
Induction of the Indirect Effects of Actions by Monotonic Methods....Pages 279-294
Probabilistic First-Order Theory Revision from Examples....Pages 295-311
Inductive Equivalence of Logic Programs....Pages 312-329
Deriving a Stationary Dynamic Bayesian Network from a Logic Program with Recursive Loops....Pages 330-347
A Study of Applying Dimensionality Reduction to Restrict the Size of a Hypothesis Space....Pages 348-365
Polynomial Time Inductive Inference of TTSP Graph Languages from Positive Data....Pages 366-383
Classifying Relational Data with Neural Networks....Pages 384-396
Efficient Sampling in Relational Feature Spaces....Pages 397-413
Why Computers Need to Learn About Music....Pages 414-414
Tutorial on Statistical Relational Learning....Pages 415-415
Machine Learning for Systems Biology....Pages 416-423
Five Problems in Five Areas for Five Years....Pages 424-425
Back Matter....Pages -
