Iterative Reweighted Noninteger Norm Regularizing SVM for Gene Expression Data Classification

Support vector machine is an effective classification and regression method that uses machine learning theory to maximize the predictive accuracy while avoiding overfitting of data. L2 regularization has been commonly used. If the training dataset contains many noise variables, L1 regularization SVM...

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Detalles Bibliográficos
Autores principales: Liu, Jianwei, Li, Shuang Cheng, Luo, Xionglin
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/PMC3748415/
https://www.ncbi.nlm.nih.gov/pubmed/23983813
http://dx.doi.org/10.1155/2013/768404

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3748415/
https://www.ncbi.nlm.nih.gov/pubmed/23983813
http://dx.doi.org/10.1155/2013/768404

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