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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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Bibliografski detalji
Izdano u:Neural Process Lett
Glavni autori: Gupta, Umesh, Gupta, Deepak
Format: Artigo
Jezik:Inglês
Izdano: Springer US 2021
Teme:
Online pristup: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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