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.

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.

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