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Description: 一个support vector machine的matlab工具箱。-a support vector machine of Matlab Toolbox.
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Size: 283134 |
Author: cp |
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Description: svm的实现源码，java版，和libsvm是同一系列
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Size: 352741 |
Author: 徐芬 |
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Description: 一个support vector machine的matlab工具箱。-a support vector machine of Matlab Toolbox.
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Size: 282624 |
Author: cp |
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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
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Size: 352256 |
Author: 徐芬 |
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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
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Size: 4271104 |
Author: 查日东 |
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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.
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Size: 56320 |
Author: Mountain |
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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
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Size: 1220608 |
Author: 张一 |
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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
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Size: 321536 |
Author: 李 |
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Description: BSVM solves support vector machines (SVM) for the solution of large classification and regression problems.
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Size: 417792 |
Author: ziying |
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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
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Size: 372736 |
Author: 程 |
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