Constructing Better Classifier Ensemble Based on Weighted Accuracy and Diversity Measure

A weighted accuracy and diversity (WAD) method is presented, a novel measure used to evaluate the quality of the classifier ensemble, assisting in the ensemble selection task. The proposed measure is motivated by a commonly accepted hypothesis; that is, a robust classifier ensemble should not only b...

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Bibliographic Details
Main Authors: Xiaodong Zeng, Derek F. Wong, Lidia S. Chao
Format: Article
Language:English
Published: Wiley 2014-01-01
Series:The Scientific World Journal
Online Access:http://dx.doi.org/10.1155/2014/961747
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