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Controlling the diversity in classifier ensembles through a measure of agreement

2005; Elsevier BV; Volume: 38; Issue: 11 Linguagem: Inglês

10.1016/j.patcog.2005.02.012

1873-5142

Héla Zouari, Laurent Heutte, Y. Lecourtier,

Advanced Statistical Methods and Models

In this paper, a simulation method is proposed to generate a set of classifier outputs with specified individual accuracies and fixed pairwise agreement. A diversity measure (kappa) is used to control the agreement among classifiers for building the classifier teams. The generated team outputs can be used to study the behaviour of class-type combination methods such as voting rules over multiple dependent classifiers.