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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Detalles Bibliográficos
Autores principales: Shao, Xigao, Wu, Kun, Liao, Bifeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2013
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3590457/
https://www.ncbi.nlm.nih.gov/pubmed/23509447
http://dx.doi.org/10.1155/2013/968438

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3590457/
https://www.ncbi.nlm.nih.gov/pubmed/23509447
http://dx.doi.org/10.1155/2013/968438

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