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Support Vector Machines in R

Hornik, Kurt and Meyer, David and Karatzoglou, Alexandros (2006) Support Vector Machines in R. Journal of Statistical Software, 15 (9). pp. 1-28. ISSN 1548-7660

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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. (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 14:38
Last Modified: 24 Feb 2017 13:49
FIDES Link: https://bach.wu.ac.at/d/research/results/34465/
URI: http://epub.wu.ac.at/id/eprint/3986

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