mr2PSO: A maximum relevance minimum redundancy feature selection method based on swarm intelligence for support vector machine classification

标题
mr2PSO: A maximum relevance minimum redundancy feature selection method based on swarm intelligence for support vector machine classification
作者
关键词
-
出版物
INFORMATION SCIENCES
Volume 181, Issue 20, Pages 4625-4641
出版商
Elsevier BV
发表日期
2010-06-10
DOI
10.1016/j.ins.2010.05.037

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