Advancing SVM classification: Parallelizing conjugate gradient for monotonicity enforcement

•We propose a new PBCCG-RMC-SVM model considering prior monotonic domain knowledge.•Conjugate gradient is used to minimize subject to linear equality constraints.•The model is applicable to large-scale and complex problems.•The experiments show the proposed method outperforms the traditional SVM. Wi...

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Vydané v:	Knowledge-based systems Ročník 302; s. 112388
Hlavní autori:	Chuang, Hui-Chi, Chen, Chih-Chuan, Li, Sheng-Tun
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 25.10.2024
Predmet:	Conjugate gradient algorithm Monotonicity classification Parallel strategy Prior knowledge Support vector machine Prior knowledge Parallel strategy Support vector machine Monotonicity classification Conjugate gradient algorithm
ISSN:	0950-7051
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