Robust support vector machine classifier with truncated loss function by gradient algorithm

The support vector machine (SVM) is an increasingly important tool in machine learning. Despite its popularity, the SVM classifier can be adversely affected under the presence of noise in the training dataset. The SVM can be fit in the regularization framework of Loss ＋ Penalty. The loss function pl...

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Vydané v:	Computers & industrial engineering Ročník 172; s. 108630
Hlavní autori:	Zhu, Wenxin, Song, Yunyan, Xiao, Yingyuan
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.10.2022
Predmet:	Accelerated proximal gradient algorithm AUC Friedman test Huberized truncated pinball loss Nemenyi post hoc test Support vector machine Friedman test Nemenyi post hoc test Support vector machine Accelerated proximal gradient algorithm Huberized truncated pinball loss AUC
ISSN:	0360-8352, 1879-0550
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