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SVM-RFE Based Feature Selection and Taguchi Parameters Optimization for Multiclass SVM Classifier
Recently, support vector machine (SVM) has excellent performance on classification and prediction and is widely used on disease diagnosis or medical assistance. However, SVM only functions well on two-group classification problems. This study combines feature selection and SVM recursive feature elim...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Hindawi Publishing Corporation
2014
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4175386/ https://www.ncbi.nlm.nih.gov/pubmed/25295306 http://dx.doi.org/10.1155/2014/795624 |