Error Correlation and Error Reduction in Ensemble Classifiers

  title={Error Correlation and Error Reduction in Ensemble Classifiers},
  author={Kagan Tumer and Joydeep Ghosh},
  journal={Connect. Sci.},
Using an ensemble of classifiers, instead of a single classifier, can lead to improved generalization. The gains obtained by combining however, are often affected more by the selection of what is presented to the combiner, than by the actual combining method that is chosen. In this paper we focus on data selection and classifier training methods, in order to “prepare” classifiers for combining. We review a combining framework for classification problems that quantifies the need for reducing the… CONTINUE READING
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