Development of the SVM classifier ensemble for the classification accuracy increase

Autor: Demidova Liliya, Sokolova Yulia
Jazyk: angličtina
Rok vydání: 2016
Předmět:
Zdroj: ITM Web of Conferences, Vol 6, p 02003 (2016)
Druh dokumentu: article
ISSN: 2271-2097
DOI: 10.1051/itmconf/20160602003
Popis: The problem of improving the classification accuracy using the SVM classifier ensemble has been considered. This paper defines the rules for the selection of individual SVM-classifiers used in the future for the creation of an ensemble and the strategies for the integration of ensemble members.
Databáze: Directory of Open Access Journals