Parallel randomized sampling for support vector machine (SVM) and support vector regression (SVR)

A parallel randomized support vector machine (PRSVM) and a parallel randomized support vector regression (PRSVR) algorithm based on a randomized sampling technique are proposed in this paper. The proposed PRSVM and PRSVR have four major advantages over previous methods. (1) We prove that the propose...

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Vydané v:	Knowledge and information systems Ročník 14; číslo 2; s. 233 - 247
Hlavní autori:	Lu, Yumao, Roychowdhury, Vwani
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	London Springer-Verlag 01.02.2008 Springer Nature B.V
Predmet:	Algorithms Computer Science Data Mining and Knowledge Discovery Database Management Decomposition Information Storage and Retrieval Information systems Information Systems and Communication Service Information Systems Applications (incl.Internet) IT in Business Machine learning Optimization Randomized algorithms Regression analysis Regular Paper Sampling techniques Studies Support vector machines Support vector regression Parallel algorithm Support vector machine Randomized sampling
ISSN:	0219-1377, 0219-3116
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