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Principal weighted support vector machines for sufficient dimension reduction in binary classification
Sufficient dimension reduction is popular for reducing data dimensionality without stringent model assumptions. However, most existing methods may work poorly for binary classification. For example, sliced inverse regression (Li, 1991) can estimate at most one direction if the response is binary. In...
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| Publicado en: | Biometrika |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Oxford University Press
2017
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5793677/ https://ncbi.nlm.nih.gov/pubmed/29430027 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/biomet/asw057 |
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