Twin support vector regression with Huber loss

DOI10.3233/JIFS-16629zbMath1376.68124MaRDI QIDQ4598469

Jing Chen, Yitian Xu, Jiayi Niu

Publication date: 21 December 2017

Published in: Journal of Intelligent & Fuzzy Systems (Search for Journal in Brave)

zbMATH Keywords

Gaussian noiseHuber losstwin support vector regressionGaussian loss

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Economic time series analysis (91B84) Learning and adaptive systems in artificial intelligence (68T05)

Related Items (6)

Fast clustering-based weighted twin support vector regression ⋮ Robust support vector regression with generic quadratic nonconvex \(\varepsilon\)-insensitive loss ⋮ Nonparallel support vector regression model and its SMO-type solver ⋮ Robust support vector quantile regression with truncated pinball loss (RSVQR) ⋮ Robust regression under the general framework of bounded loss functions ⋮ An elastic-net penalized expectile regression with applications

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