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Titlebook: Inductive Logic Programming; 15th International C Stefan Kramer,Bernhard Pfahringer Conference proceedings 2005 Springer-Verlag Berlin Heid

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Online Closure-Based Learning of Relational Theorieslearning theories formed by disjunctions of existentially quantified conjunctions of atoms. In this setting, we show that the number of mistakes depends only logarithmically on the number of features. Furthermore, the computational cost is essentially bounded by the size of the closure lattice.
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Learning Teleoreactive Logic Programs from Problem Solvingse structures in a cumulative manner through problem solving. We report experiments in three domains that involve multiple levels of skilled behavior. We also review related work and discuss directions for future research.
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Strategies to Parallelize ILP Systemsas been the parallelization of ILP systems. In this paper we overview the state-of-the-art on parallel ILP implementations and present work on the evaluation of some major parallelization strategies for ILP. Conclusions about the applicability of each strategy are presented.
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Predicate Selection for Structural Decision Treess, it is a better alternative to other commonly used functions. The second is in regression learning, where we consider the standard mean squared error measure and give a predicate pruning result for it.
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Spatial Clustering of Structured Objectstions representing their internal structure. CORSO is a novel spatial data mining method that resorts to a multi-relational approach to learn relational spatial data and exploits the concept of neighborhood to capture relational constraints embedded in the discrete spatial structure. Relational data
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