Support Vector Machines in R

Karatzoglou, Alexandros and Meyer, David and Hornik, Kurt ORCID: https://orcid.org/0000-0003-4198-9911 (2006) Support Vector Machines in R. Journal of Statistical Software, 15 (9). pp. 1-28. ISSN 1548-7660

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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)

Item Type:	Article
Keywords:	support vector machines / R
Divisions:	Departments > Finance, Accounting and Statistics > Statistics and Mathematics > Hornik
Version of the Document:	Published
Depositing User:	ePub Administrator
Date Deposited:	09 Oct 2013 12:38
Last Modified:	28 Oct 2019 09:09
FIDES Link:	https://bach.wu.ac.at/d/research/results/34465/
URI:	https://epub.wu.ac.at/id/eprint/3986

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• Support Vector Machines in R. (deposited 24 Oct 2005 15:15)
  • Support Vector Machines in R. (deposited 09 Oct 2013 12:38) [Currently Displayed]

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