Support Vector Machines in R

被引：1

作者：

Karatzoglou, A ^{[1
]}

Meyer, D

Hornik, K

机构：

[1] Vienna Univ Technol, Inst Stat & Warhscheinlichkeitstheorie, A-1040 Vienna, Austria

[2] Vienna Univ Econ & Business Adm, Vienna, Austria

来源：

JOURNAL OF STATISTICAL SOFTWARE | 2006年 / 15卷 / 09期

关键词：

support vector machines; R;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

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.

引用

页数：28

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[8]

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[9]

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