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bsvm-2.05
- 一个support vector machine的matlab工具箱。-a support vector machine of Matlab Toolbox.
bsvm-2.06
- svm的实现源码，java版，和libsvm是同一系列
bsvm-2.05
- 一个support vector machine的matlab工具箱。-a support vector machine of Matlab Toolbox.
bsvm-2.06
- svm的实现源码，java版，和libsvm是同一系列-SVM realize the source, java version, and the same series libsvm
stprtool
- 统计模式识别工具箱（Statistical Pattern Recognition Toolbox）包含： 1，Analysis of linear discriminant function 2，Feature extraction: Linear Discriminant Analysis 3，Probability distribution estimation and clustering 4，Support V
looms
- 留一模型选择法leave-one-out model selection，适合支持向量机分类和回归时进行参数选择。-looms uses a slightly modified BSVM to perform model selection on binary classification problems. Currently the RBF kernel is supported.
example
- SVM算法的一个例子，给大家瞅瞅,希望能有些帮助吧-SVM algorithm is an example to everyone to see the hope of some help to you
bsvm-2.06
- 台湾林智仁等开发的用于SVM多分类软件，包括一对多SVM、一对一SVM、DAGSVM等算法的实现-Taiwan' s Lin Zhiren, etc. for the development of SVM multi-classification software, including one to many SVM, one-SVM, DAGSVM such as Algorithm
bsvm-2.08
- BSVM solves support vector machines (SVM) for the solution of large classification and regression problems.
bsvm-2.08
- BSVM解决了支持向量机（SVM），用于解决大型分类和回归问题。 它包括以下方法 一个对一个使用约束约束公式的多类分类 通过解决单一优化问题（再次，有界公式）进行多类分类。 参见我们比较文件的第3节。 使用Crammer和Singer的配方进行多级分类。 参见我们的比较文章第4节。 使用约束约束公式的回归-BSVM solves support vector machines (SVM) for the solution