Density-Based Penalty Parameter Optimization on C-SVM

The support vector machine (SVM) is one of the most widely used approaches for data classification and regression. SVM achieves the largest distance between the positive and negative support vectors, which neglects the remote instances away from the SVM interface. In order to avoid a position change...

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Detalles Bibliográficos
Autores principales: Liu, Yun, Lian, Jie, Bartolacci, Michael R., Zeng, Qing-An
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4119659/
https://www.ncbi.nlm.nih.gov/pubmed/25114978
http://dx.doi.org/10.1155/2014/851814

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4119659/
https://www.ncbi.nlm.nih.gov/pubmed/25114978
http://dx.doi.org/10.1155/2014/851814

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