Combining Multiple Classifiers with Dynamic Weighted Voting

Authors:
R. M. Valdovinos;J. S. Sánchez
Affiliations:
Grupo de Cómputo Aplicado, Centro Universitario UAEM Valle de Chalco, Valle de Chalco, México 56615;Dept. Llenguatges i Sistemes Informàtics, Universitat Jaume I, Castelló de la Plana, Spain E-12071
Venue:
HAIS '09 Proceedings of the 4th International Conference on Hybrid Artificial Intelligence Systems
Year:
2009

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Abstract

When a multiple classifier system is employed, one of the most popular methods to accomplish the classifier fusion is the simple majority voting. However, when the performance of the ensemble members is not uniform, the efficiency of this type of voting generally results affected negatively. In this paper, new functions for dynamic weighting in classifier fusion are introduced. Experimental results demonstrate the advantages of these novel strategies over the simple voting scheme.