Support Vector Machines in R

Alexandros Karatzoglou; David Meyer; Kurt Hornik

Support Vector Machines in R

Alexandros Karatzoglou, David Meyer, Kurt Hornik

Statistics and Mathematics

Publikation: Working/Discussion Paper › WU 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)

Originalsprache	Englisch
Erscheinungsort	Vienna
Herausgeber	Department of Statistics and Mathematics, WU Vienna University of Economics and Business
Publikationsstatus	Veröffentlicht - 2005

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Reihe	Research Report Series / Department of Statistics and Mathematics
Nummer	21

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WU Working Paper Reihe

Research Report Series / Department of Statistics and Mathematics

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1 Originalbeitrag in Fachzeitschrift

Support vector machines in R
Karatzoglou, A., Meyer, D. & Hornik, K., 1 Okt. 2006, in: Journal of Statistical Software. 15, 9, S. 1 - 28
Publikation: Wissenschaftliche Fachzeitschrift › Originalbeitrag in Fachzeitschrift › Begutachtung

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Support Vector Machines in R

Abstract

Publikationsreihe

Bibliographische Notiz

WU Working Paper Reihe

Zugriff auf Dokument

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Andere Versionen dieses Inhalts

Support vector machines in R

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