Titlebook: Machine Learning: ECML-94; European Conference Francesco Bergadano,Luc Raedt Conference proceedings 1994 Springer-Verlag Berlin Heidelberg

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FOSSIL: A robust relational learner,s stopping criterion depends on a search heuristic that estimates the utility of literals on a uniform scale. In addition we outline how this feature can be used for . and present some preliminary results.

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On the utility of predicate invention in inductive logic programming,ion. We prove that for some restricted languages predicate invention does not help in case that the learning task fails, and characterize the languages for which predicate invention is useful as bias shift operation.

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Conference proceedings 1994ted papers, 19 regular papers, and 25 short papers carefully reviewed and selected from in total 88 submissions. .The papers describe techniques, algorithms, implementations, and experiments in the area of machine learning.

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Incremental learning of control knowledge for nonlinear problem solving,orresponding to new learning opportunities offered by the nonlinear problem solver that go beyond the linear one. These opportunities involve, among other issues, completeness, quality of plans, and opportunistic decision making. Finally, we show empirical results illustrating .‘s learning performance.

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Inductive learning of characteristic concept descriptions from small sets of classified examples,gative) instances of a concept. The approach tries to take advantage of the information which can be induced from descriptions of unclassified objects using a conceptual clustering algorithm. The system . is described and results of applying . in two real-world domains are presented.

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