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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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| Main Authors: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Hindawi Publishing Corporation
2014
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4119659/ https://ncbi.nlm.nih.gov/pubmed/25114978 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2014/851814 |
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