Efficient approaches for ℓ 2-ℓ 0 regularization and applications to feature selection in SVM

标题
Efficient approaches for ℓ 2-ℓ 0 regularization and applications to feature selection in SVM
作者
关键词
Sparsity, Zero norm, Convex relaxation, Biconjugate function, Nonconvex approximation, DC programming, DCA, Feature selection in SVM
出版物
APPLIED INTELLIGENCE
Volume 45, Issue 2, Pages 549-565
出版商
Springer Nature
发表日期
2016-04-02
DOI
10.1007/s10489-016-0778-y

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