Controlling the diversity in classifier ensembles through a measure of agreement
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摘要
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.
论文关键词：Diversity measure,Classifier ensemble,Output generation algorithm,Classifier agreement,Kappa measure,Dependency,Classifier simulation
论文评审过程：Received 1 February 2005, Accepted 17 February 2005, Available online 28 April 2005.
论文官网地址：https://doi.org/10.1016/j.patcog.2005.02.012
