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On Regularization Based Twin Support Vector Regression with Huber Loss
Twin support vector regression (TSVR) is generally employed with [Formula: see text] -insensitive loss function which is not well capable to handle the noises and outliers. According to the definition, Huber loss function performs as quadratic for small errors and linear for others and shows better...
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| Publicat a: | Neural Process Lett |
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| Autors principals: | , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Springer US
2021
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7779113/ https://ncbi.nlm.nih.gov/pubmed/33424418 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s11063-020-10380-y |
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