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A general soft method for learning SVM classifiers with -norm penalty

โœ Scribed by Qing Tao; Gao-Wei Wu; Jue Wang


Book ID
108234452
Publisher
Elsevier Science
Year
2008
Tongue
English
Weight
217 KB
Volume
41
Category
Article
ISSN
0031-3203

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A generalized Sโ€“K algorithm for learning
โœ Qing Tao; Gao-wei Wu; Jue Wang ๐Ÿ“‚ Article ๐Ÿ“… 2004 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 278 KB

The S-K algorithm (Schlesinger-Kozinec algorithm) and the modified kernel technique due to Friess et al. have been recently combined to solve SVM with L 2 cost function. In this paper, we generalize S-K algorithm to be applied for soft convex hulls. As a result, our algorithm can solve m-SVM based o