Combining Multiple Classifiers with Dynamic Weighted Voting
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Other documents of the author: Valdovinos Rosas, Rosa María; Sánchez Garreta, Josep Salvador
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comunitat-uji-handle2:10234/7036
comunitat-uji-handle3:10234/61544
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Title
Combining Multiple Classifiers with Dynamic Weighted VotingDate
2009Publisher
Springer Berlin HeidelbergISBN
978-3-642-02319-4Bibliographic citation
VALDOVINOS, R.M., SÁNCHEZ, J.S. Combining Multiple Classifiers with Dynamic Weighted Voting. En: Hybrid Artificial Intelligence Systems: 4th International Conference, HAIS 2009, Salamanca, Spain, June 10-12, 2009. Proceedings, p. 510-516. Springer Berlin Heidelberg, 2009. (Lecture Notes in Computer Science; 5572) ISBN 978-3-642-02319-4Type
info:eu-repo/semantics/bookPartPublisher version
http://link.springer.com/chapter/10.1007/978-3-642-02319-4_61Abstract
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, ... [+]
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. [-]
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info:eu-repo/semantics/openAccess