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...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Computers & industrial engineering Jg. 172; S. 108630
Hauptverfasser:	Zhu, Wenxin, Song, Yunyan, Xiao, Yingyuan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.10.2022
Schlagworte:	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
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!