Design of a multiple kernel learning alg
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Ling Jian; Zhonghang Xia; Xijun Liang; Chuanhou Gao
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Article
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2011
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Elsevier Science
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English
⚖ 323 KB
As a kernel based method, the performance of least squares support vector machine (LS-SVM) depends on the selection of the kernel as well as the regularization parameter (Duan, Keerthi, & Poo, 2003). Crossvalidation is efficient in selecting a single kernel and the regularization parameter; however,