An empirical study on diversity measures and margin theory for ensembles of classifiers

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An empirical study on diversity measures and margin theory for ensembles of classifiers

Kapp, Marcelo N. and Sabourin, Robert and Maupin, Patrick

FUSION 2007 – 2007 10th International Conference on Information Fusion 2007

Abstract : The main goal of this paper is to investigate the relationship between two theories widely applied to explain the success of classifiers fusion: diversity measures and margin theory. In order to achieve this, we realized an empirical study which evaluates some classical measures related to these two theories with respect to ensembles accuracy. In particular, this study revealed valuable insights on how these two theories can influence each other, and how the application of margin based measures can be useful for the evaluation and selection of ensembles of classifiers with majority voting.

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