Facetwise Analysis of XCS for Problems With Class Imbalances


Michigan-style learning classifier systems (LCSs) are online machine learning techniques that incrementally evolve distributed subsolutions which individually solve a portion of the problem space. As in many machine learning systems, extracting accurate models from problems with class imbalances-that is, problems in which one of the classes is poorly… (More)
DOI: 10.1109/TEVC.2009.2019829


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