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Authors: Alexandros Karatzoglou, David Meyer, Kurt Hornik
Title: [download]
(15855)Support Vector Machines in R
Reference: Vol. 15, Issue 9, Apr 2006
Submitted 2005-10-24, Accepted 2006-04-06
Type: Article
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.

Paper: [download]
(15855)Support Vector Machines in R
(application/pdf, 1.2 MB)
Resources: BibTeX | OAI
Creative Commons License
This work is licensed under the licenses
Paper: Creative Commons Attribution 3.0 Unported License
Code: Commons GNU General Public License License
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