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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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Vydáno v:Neural Process Lett
Hlavní autoři: Gupta, Umesh, Gupta, Deepak
Médium: Artigo
Jazyk:Inglês
Vydáno: Springer US 2021
Témata:
On-line přístup: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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