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Single Directional SMO Algorithm for Least Squares Support Vector Machines

Working set selection is a major step in decomposition methods for training least squares support vector machines (LS-SVMs). In this paper, a new technique for the selection of working set in sequential minimal optimization- (SMO-) type decomposition methods is proposed. By the new method, we can se...

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Hlavní autoři: Shao, Xigao, Wu, Kun, Liao, Bifeng
Médium: Artigo
Jazyk:Inglês
Vydáno: Hindawi Publishing Corporation 2013
Témata:
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC3590457/
https://ncbi.nlm.nih.gov/pubmed/23509447
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2013/968438
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