SVM台湾林智仁教授开发libSVM
LIBSVM -- A Library for Support Vector MachinesChih-Chung Chang and Chih-Jen Lin
IntroductionLIBSVM is an integrated software for support vector classification, (C-SVC, nu-SVC), regression (epsilon-SVR,nu-SVR) and distribution estimation (one-class SVM). It supports multi-class classification. Since version 2.8, it implements an SMO-type algorithm proposed in this paper:
R.-E. Fan, P.-H. Chen, and C.-J. Lin. Working set selection using second order information for training SVM. Journal of Machine Learning Research 6, 1889-1918, 2005. You can also find a pseudo code there. (how to cite LIBSVM) Our goal is to help users from other fields to easily use SVM as a tool. LIBSVM provides a simple interface where users can easily link it with their own programs. Main features of LIBSVM include
该库的中文介绍： http://baike.baidu.com/view/598089.htm，坛内有一个国内学生整理的该库详细代码的说明文档可以参考，可以搜索libsvm找到该文。
IntroductionLIBSVM is an integrated software for support vector classification, (C-SVC, nu-SVC), regression (epsilon-SVR,nu-SVR) and distribution estimation (one-class SVM). It supports multi-class classification. Since version 2.8, it implements an SMO-type algorithm proposed in this paper:
R.-E. Fan, P.-H. Chen, and C.-J. Lin. Working set selection using second order information for training SVM. Journal of Machine Learning Research 6, 1889-1918, 2005. You can also find a pseudo code there. (how to cite LIBSVM) Our goal is to help users from other fields to easily use SVM as a tool. LIBSVM provides a simple interface where users can easily link it with their own programs. Main features of LIBSVM include
- Different SVM formulations
- Efficient multi-class classification
- Cross validation for model selection
- Probability estimates
- Various kernels (including precomputed kernel matrix)
- Weighted SVM for unbalanced data
- Both C++ and Java sources
- GUI demonstrating SVM classification and regression
- Python, R, MATLAB, Perl, Ruby, Weka, Common LISP, CLISP, Haskell, LabVIEW, and PHP interfaces. C# .NET code and CUDA extension is available.
It's also included in some data mining environments: RapidMiner and PCP. - Automatic model selection which can generate contour of cross valiation accuracy.
该库的中文介绍： http://baike.baidu.com/view/598089.htm，坛内有一个国内学生整理的该库详细代码的说明文档可以参考，可以搜索libsvm找到该文。