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Optimal SVM parameter selection for non-separable and unbalanced datasets
This article presents a study of three validation metrics used for the selection of optimal parameters of a support vector machine (SVM) classifier in the case of non-separable and unbalanced datasets. This situation is often encountered when the data is obtained experimentally or clinically. The th...
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| Main Authors: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2014
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4170691/ https://ncbi.nlm.nih.gov/pubmed/25258621 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s00158-014-1105-z |
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