Combining Multiple Classifiers with Dynamic Weighted Voting
Ver/ Abrir
Impacto
Scholar |
Otros documentos de la autoría: Valdovinos Rosas, Rosa María; Sánchez Garreta, Josep Salvador
Metadatos
Mostrar el registro completo del ítemcomunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/7036
comunitat-uji-handle3:10234/61544
comunitat-uji-handle4:
INVESTIGACIONMetadatos
Título
Combining Multiple Classifiers with Dynamic Weighted VotingFecha de publicación
2009Editor
Springer Berlin HeidelbergISBN
978-3-642-02319-4Cita bibliográfica
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 978-3-642-02319-4Tipo de documento
info:eu-repo/semantics/bookPartVersión de la editorial
http://link.springer.com/chapter/10.1007/978-3-642-02319-4_61Palabras clave / Materias
Resumen
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. [-]
Derechos de acceso
http://rightsstatements.org/vocab/CNE/1.0/
info:eu-repo/semantics/openAccess
info:eu-repo/semantics/openAccess