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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Vydáno v:	Neural networks Ročník 184; s. 107087
Hlavní autoři:	Wang, Huajun, Li, Wenqian
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	United States Elsevier Ltd 01.04.2025
Témata:	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
On-line přístup:	Získat plný text
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