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Feature selection for ensembles can often improve generalization accuracy of classifiers. In this paper we present a strategy on the feature selection for ensembles based on a hierarchical Non-dominated Sorting in Genetic Algorithms (NSGA-II) proposed by Deb. The first level of our strategy performs feature selection in order to generate a set of good classifiers, the second one deletes redundant...
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