|Authors:||Alexandros Karatzoglou, David Meyer, Kurt Hornik|
|Title:||Support Vector Machines in R|
|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.|
Page views:: 143364. Submitted: 2005-10-24. Published: 2006-04-06.
Support Vector Machines in R
This work is licensed under the licenses
Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.