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

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Estimating attributes: Analysis and extensions of RELIEF,l RELIEF can deal with discrete and continuous attributes and is limited to only two-class problems. In this paper RELIEF is analysed and extended to deal with noisy, incomplete, and multi-class data sets. The extensions are verified on various artificial and one well known real-world problem.

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Using constraints to building version spaces,n attributes too. It is shown that only minimal negative examples and minimal attributes are to be considered when building the set G. These results hold in case of a non-convergent data set..Constraints can be directly used for a polynomial characterization of G. They also allow for detecting erroneous examples in a data set.

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Conference proceedings 1994is a major forum for the presentation of the latest and most significant results in machine learning. .Machine learning is one of the most important subfields of artificial intelligence and computer science, as it is concerned with the automation of learning processes. .This volume contains two invi

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An analytic and empirical comparison of two methods for discovering probabilistic causal relationshhey are complementary in several aspects. Moreover, the method of conditional independence can be easily extended to the case in which variables have a nominal or ordinal domain. In this case, symbolic learning algorithms can be exploited in order to derive the causal law from the causal model.

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0302-9743 and which is a major forum for the presentation of the latest and most significant results in machine learning. .Machine learning is one of the most important subfields of artificial intelligence and computer science, as it is concerned with the automation of learning processes. .This volume contain