Support Vector Machines in R

Alexandros Karatzoglou, David Meyer, Kurt Hornik

Publikation: Working/Discussion PaperWU Working Paper

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Abstract

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)
OriginalspracheEnglisch
ErscheinungsortVienna
HerausgeberDepartment of Statistics and Mathematics, WU Vienna University of Economics and Business
PublikationsstatusVeröffentlicht - 2005

Publikationsreihe

NameResearch Report Series / Department of Statistics and Mathematics
Nr.21

Bibliographische Notiz

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WU Working Paper Reihe

  • Research Report Series / Department of Statistics and Mathematics

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