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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Hindawi Publishing Corporation
2013
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| Materias: | |
| 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 |