Support vector machines in R

Alexandros Karatzoglou; David Meyer; Kurt Hornik

Support vector machines in R

Alexandros Karatzoglou, David Meyer, Kurt Hornik

Publikation: Wissenschaftliche Fachzeitschrift › Originalbeitrag in Fachzeitschrift › Begutachtung

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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. (authors' abstract)

Originalsprache	Englisch
Seiten (von - bis)	1 - 28
Fachzeitschrift	Journal of Statistical Software
Jahrgang	15
Ausgabenummer	9
Publikationsstatus	Veröffentlicht - 1 Okt. 2006

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1 WU Working Paper

Support Vector Machines in R
Karatzoglou, A., Meyer, D. & Hornik, K., 2005, October 2005 Aufl., Vienna: Department of Statistics and Mathematics, WU Vienna University of Economics and Business, (Research Report Series / Department of Statistics and Mathematics; Nr. 21).
Publikation: Working/Discussion Paper › WU Working Paper

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Support vector machines in R

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Support Vector Machines in R

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