SVM

SVM (Support Vector Machines) for Classification
- 台大林智仁教授
  - LIBSVM, a support vector machines (SVM) library for classification
    - Download LIBSVM zip file
    - you need to install python and gnuplot if you use easy.py and grid.p you should modify "path" to these two package.
      - $ python easy.py train.1 test.1
  - LIBLINEAR -- A Library for Large Linear Classification
    - ```
    % time libsvm-2.85/svm-train -c 4 -t 0 -e 0.1 -m 800 -v 5 rcv1_train.binary
    Cross Validation Accuracy = 96.8136%
    345.569s
```
- ```
% time liblinear-1.21/train -c 4 -e 0.1 -v 5 rcv1_train.binary
Cross Validation Accuracy = 97.0161%
2.944s
```
  - A practical guide to support vector classification shows beginners how to train/test their data.
  - Feature selection tool
  - Multi-class classification (and probability output) via error-correcting codes
  - A Practical Guide to Support Vector Classification_jdwang_2008_5_30.ppt
  - SVM Demo (by 廖益緯)
  - Download(Local in AsisUniversity )
  - LIBSVM(libsvm-2.88.zip)
  - LinearSVM
  - python(python-3.0.msi)
  - gunplot(gnuplot-4.2.2.tar.gz)
  - 笨蛋也可以用的libsvm
- SVMlight, an implementation of Support Vector Machines (SVMs) in C.
  - Thorsten Joachims's SVMlight from his Web site SVMlight Windows version
- SVM^struct
  - SVM^multiclass: Multi-class classification. Learns to predict one of k mutually exclusive classes. This is probably the simplest possible instance of SVM^struct and serves as a tutorial example of how to use the programming interface.
    More information and source code.
- SvmFu 3, SVM package in C++, under GPL (source only, requires compilation)
- Package pt.tumba.ngram.svm
- Software(Kernel-Machines.Org software links)
- Software
- Tools for use of the SVM package(Java)
- BSVM, a decomposition method for support vector machines (SVM) for large classification problems.
- Kernel Machines and related methods website
- LS-SVMlab, Least Squares - Support Vector Machines Matlab/C Toolbox
Python 教學文件