Combining Multiple Classifiers with Dynamic Weighted Voting
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Altres documents de l'autoria: Valdovinos Rosas, Rosa María; Sánchez Garreta, Josep Salvador
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Títol
Combining Multiple Classifiers with Dynamic Weighted VotingData de publicació
2009Editor
Springer Berlin HeidelbergISBN
978-3-642-02319-4Cita bibliogràfica
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 978-3-642-02319-4Tipus de document
info:eu-repo/semantics/bookPartVersió de l'editorial
http://link.springer.com/chapter/10.1007/978-3-642-02319-4_61Paraules clau / Matèries
Resum
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
info:eu-repo/semantics/openAccess