Machine learning model based on non-convex penalized huberized-SVM
The support vector machine (SVM) is a classical machine learning method. Both the hinge loss and least absolute shrinkage and selection operator (LASSO) penalty are usually used in traditional SVMs. However, the hinge loss is not differentiable, and the LASSO penalty does not have the Oracle propert...
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| Autori principali: | , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
KeAi Communications Co., Ltd.
2024-03-01
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| Serie: | Journal of Electronic Science and Technology |
| Soggetti: | |
| Accesso online: | http://www.sciencedirect.com/science/article/pii/S1674862X24000144 |
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