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[Other resourcebsvm-2.05

Description: 一个support vector machine的matlab工具箱。-a support vector machine of Matlab Toolbox.
Platform: | Size: 283134 | Author: cp | Hits:

[MultiLanguagebsvm-2.06

Description: svm的实现源码,java版,和libsvm是同一系列
Platform: | Size: 352741 | Author: 徐芬 | Hits:

[matlabbsvm-2.05

Description: 一个support vector machine的matlab工具箱。-a support vector machine of Matlab Toolbox.
Platform: | Size: 282624 | Author: cp | Hits:

[MultiLanguagebsvm-2.06

Description: 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
Platform: | Size: 352256 | Author: 徐芬 | Hits:

[matlabstprtool

Description: 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 Vector and other Kernel Machines- This section should give the reader a quick overview of the methods implemented in STPRtool. • Analysis of linear discriminant function: Perceptron algorithm and multiclass modification. Kozinec’s algorithm. Fisher Linear Discriminant. A collection of known algorithms solving the Generalized Anderson’s Task. • Feature extraction: Linear Discriminant Analysis. Principal Component Analysis (PCA). Kernel PCA. Greedy Kernel PCA. Generalized Discriminant Analysis. • Probability distribution estimation and clustering: Gaussian Mixture Models. Expectation-Maximization algorithm. Minimax probability estimation. K-means clustering. • Support Vector and other Kernel Machines: Sequential Minimal Optimizer (SMO). Matlab Optimization toolbox based algorithms. Interface to the SVMlight software. Decomposition approaches to train the Multi-class SVM classifiers. Multi-class BSVM formulation trained by Kozinec’s algorithm, Mitchell- Demyanov-Molozenov algorithm
Platform: | Size: 4271104 | Author: 查日东 | Hits:

[Otherlooms

Description: 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.
Platform: | Size: 56320 | Author: Mountain | Hits:

[Mathimatics-Numerical algorithmsexample

Description: 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
Platform: | Size: 1220608 | Author: 张一 | Hits:

[AI-NN-PRbsvm-2.06

Description: 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
Platform: | Size: 321536 | Author: | Hits:

[Mathimatics-Numerical algorithmsbsvm-2.08

Description: BSVM solves support vector machines (SVM) for the solution of large classification and regression problems.
Platform: | Size: 417792 | Author: ziying | Hits:

[AI-NN-PRbsvm-2.08

Description: 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 of large classification and regression problems. It includes the following methods One vs. One multi-class classification using a bound-constrained formulation Multi-class classification by solving a single optimization problem (again, a bounded formulation). See Section 3 of our comparison paper. Multi-class classification using Crammer and Singer s formulation. See Section 4 of our comparison paper. Regression using a bound-constrained formulation Multi-class classification using Crammer and Singer s formulation with squared hinge (L2) loss
Platform: | Size: 372736 | Author: | Hits:

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