An Overview of Classifier Fusion Methods.

Ruta, D. and Gabrys, B., 2000. An Overview of Classifier Fusion Methods. Computing and Information Systems, 7 (1), pp. 1-10.

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Abstract

A number of classifier fusion methods have been recently developed opening an alternative approach leading to a potential improvement in the classification performance. As there is little theory of information fusion itself, currently we are faced with different methods designed for different problems and producing different results. This paper gives an overview of classifier fusion methods and attempts to identify new trends that may dominate this area of research in future. A taxonomy of fusion methods trying to bring some order into the existing “pudding of diversities” is also provided.

Item Type:Article
ISSN:1352-9404
Subjects:Generalities > Computer Science and Informatics > Artificial Intelligence
Generalities > Computer Science and Informatics
Group:School of Design, Engineering & Computing > Smart Technology Research Centre
ID Code:9649
Deposited By:Professor Bogdan Gabrys
Deposited On:11 Mar 2009 23:57
Last Modified:07 Mar 2013 15:07

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