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Convex Bidirectional Large Margin Classifiers
Classification problems are commonly seen in practice. In this paper, we aim to develop classifiers that can enjoy great interpretability as linear classifiers, and at the same time have model flexibility as nonlinear classifiers. We propose convex bidirectional large margin classifiers to fill the...
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| Publicado no: | Technometrics |
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| Principais autores: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6726400/ https://ncbi.nlm.nih.gov/pubmed/31485090 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/00401706.2018.1497544 |
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