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Margin-Maximizing Feature Elimination Methods for Linear and Nonlinear Kernel-Based Discriminant Functions
Feature selection for classification in high-dimensional spaces can improve generalization, reduce classifier complexity, and identify important, discriminating feature “markers.” For support vector machine (SVM) classification, a widely used technique is recursive feature elimination (RFE). We demo...
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| Autores principales: | , , , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
2010
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3580203/ https://ncbi.nlm.nih.gov/pubmed/20194055 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TNN.2010.2041069 |
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