Support Vector Machines in R

Alexandros Karatzoglou, David Meyer, Kurt Hornik

Publikation: Working/Discussion PaperWU Working Paper

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Being among the most popular and efficient classification and regression methods currently available, implementations of support vector machines exist in almost every popular programming language. Currently four R packages contain SVM related software. The purpose of this paper is to present and compare these implementations. (author's abstract)
HerausgeberDepartment of Statistics and Mathematics, WU Vienna University of Economics and Business
PublikationsstatusVeröffentlicht - 2005


NameResearch Report Series / Department of Statistics and Mathematics

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