libsvm-3.17

上传者: wzh_xwjh | 上传时间: 2019-12-21 18:57:39 | 文件大小: 869KB | 文件类型: zip
支持向量机源码,可在 www.csie.ntu.edu.tw/~cjlin/libsvm/ 下载到最新版本,该版本是 2013年4月更新的,3.17 版。压缩包里面有源代码和文档。以下摘自前述网站: Introduction LIBSVM 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, OCaml, LabVIEW, and PHP interfaces. C# .NET code and CUDA extension is available. It's also included in some data mining environments: RapidMiner, PCP, and LIONsolver. Automatic model selection which can generate contour of cross valiation accuracy.

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评论信息

  • ytu1989 :
    挺好的资源,可以直接使用,感谢分享
    2020-04-26
  • hanhaodong86 :
    不错,很好的资源,支持向量机源码,挺好用
    2019-05-30
  • SUNTANGLE :
    感谢分享,可以直接使用。
    2018-10-24
  • harry660 :
    能用,感谢分享!
    2018-07-19
  • yu_yu_yu_yu123 :
    可以用,不错
    2018-06-02

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