Fast ramp fraction loss SVM classifier with low computational complexity for pattern classification

The support vector machine (SVM) is a powerful tool for pattern classification thanks to its outstanding efficiency. However, when encountering extensive classification tasks, the considerable computational complexity may present a substantial barrier. To reduce computational complexity, the novel r...

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Veröffentlicht in:	Neural networks Jg. 184; S. 107087
Hauptverfasser:	Wang, Huajun, Li, Wenqian
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States Elsevier Ltd 01.04.2025
Schlagworte:	Algorithms Fast algorithm Humans Large-scale classification Low computational complexity Pattern Recognition, Automated - methods Ramp fraction loss SVM Sparsity and robustness Support Vector Machine Fast algorithm Sparsity and robustness Ramp fraction loss SVM Low computational complexity Large-scale classification
ISSN:	0893-6080, 1879-2782, 1879-2782
Online-Zugang:	Volltext
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