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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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| Publicado en: | Neural Process Lett |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Springer US
2021
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| Assuntos: | |
| Acceso en liña: | 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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