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Titlebook: Learning Classifier Systems; International Worksh Tim Kovacs,Xavier Llorà,Stewart W. Wilson Conference proceedings 2007 Springer-Verlag Ber

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Post-processing Clustering to Decrease Variability in XCS Induced Rulesetsning a single, stable result is important. We propose an algorithm which applies clustering in order to merge the rules produced from many XCS runs. Such an algorithm needs a measure of distance between rules; we then suggest a general definition for such a measure. We finally evaluate the results o
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The Class Imbalance Problem in UCS Classifier System: A Preliminary Studyon of well-balanced datasets. But this commitment is not always true, since it is very common to find higher presence of one of the classes in real classification problems. The aim of this paper is to make a preliminary analysis on the effect of the class imbalance problem in learning classifier sys
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