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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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Библиографические подробности
Опубликовано в: :Neural Process Lett
Главные авторы: Gupta, Umesh, Gupta, Deepak
Формат: Artigo
Язык:Inglês
Опубликовано: Springer US 2021
Предметы:
Online-ссылка: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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