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Description: 机器学习文本分类的SVM算法实现，VC++ 6.0环境下编译-A SVM algorithm for text classification in machine learning, and compiled under the Visual C++ 6.0 environment.
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Size: 1600512 |
Author: 邵云 |
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Description: 一个支撑向量机的工具包。希望对大家有用。-a Support Vector Machine tool kit. We hope that the right useful.
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Size: 131072 |
Author: lu |
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Description: SVM-light与matlab的接口,matlab下就能直接调用哟,很有价值哟-SVM-light and Matlab interface directly with Matlab can call yo, value yo
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Size: 23552 |
Author: zsq |
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Description: 支持向量机工具，可以在matlab下运行-support vector machine tools, can run under Matlab
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Size: 23552 |
Author: 杨林 |
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Description: 《精通matlab》电子书，中文版,pdf文档形式，学习matlab的经典教材。- Proficient matlab e-books, the Chinese version, pdf file format, learning matlab classic materials.
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Size: 3457024 |
Author: fred |
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Description: svm(支持向量机)分类算法本质上是二类分类器，实现多类分类的方法一般是将多类分类看作是多个一对多的二类分类器。本程序就是基于svmlight的svm多类分类器实现。对分类感兴趣的用户请参照。配合中文分词（参见我上传的程序），可实现中文多类分本分类。-svm (support vector machine) classification algorithm is essentially a second-class classifier, multi-category classification methods in general is to multiclass classification is more than one-to-many as second-class classifier. This procedure is based on many types of svmlight of SVM classifiers to achieve. Classification please refer to interested users. With the Chinese word segmentation (see my uploaded program), can be realized at the Chinese multi-category classification.
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Size: 566272 |
Author: maming |
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Description: Joachims的SVM-light工具包 里面含有 两个.exe文件svm_classify.exe svm_learn.exe 可以实现Transductive SVM用Anton s Matlab interface to SVM light 使用会更方便-Joachims s SVM-light kit which contains two. Exe files svm_classify.exe svm_learn.exe can Transductive SVM with Anton s Matlab interface to SVM light will be more convenient to use
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Size: 1937408 |
Author: Mingjie Qian |
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Description: Anton s Matlab interface to SVM light 提供Joachims的SVM light 使用非常方便-Anton s Matlab interface to SVM light provide Joachims s SVM light is very convenient to use
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Size: 23552 |
Author: Mingjie Qian |
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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: matlab与svmlight接口程序 ，非常好啊-the inferance between matlab and inferance, it is very useful.
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Size: 23552 |
Author: 李强大 |
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Description: 数据挖掘中经典的支持向量机分类算法的源代码-Data Mining in the classical support vector machine classification algorithm source code
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Size: 304128 |
Author: lxg |
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Description: svmlight-2.51工具包，在matlab7.9.0（R2009b）环境下调试通过。里面包含了几个实用的例子可供参考。-svmlight-2.51 kit, in matlab7.9.0 (R2009b) environment through debugging. Which contains several practical examples for reference.
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Size: 264192 |
Author: lshun |
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Description: 第二个：matlab 和C++联合用于SLSVM，另外一种风格的-the second file: matlab and c++ together for SVM
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Size: 4249600 |
Author: hezhangming |
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Description: lda的matlab实现，lda is a Latent Dirichlet Allocation (Blei et al., 2001) package written both in MATLAB and C (command line interface).
This package provides only a standard variational Bayes estimation that was first proposed, but has a simple textual data format that is almost the same as SVMlight or TinySVM.
This package can be used as an aid to understand LDA, or simply as a regularized alternative to PLSI, which has a severe overfitting problem due to its maximum likelihood structure.
For advanced users who wish to benefit from the latest result, consider using npbayes or MPCA: though, they have data formats different from above.-lda is a Latent Dirichlet Allocation (Blei et al., 2001) package written both in MATLAB and C (command line interface).
This package provides only a standard variational Bayes estimation that was first proposed, but has a simple textual data format that is almost the same as SVMlight or TinySVM.
This package can be used as an aid to understand LDA, or simply as a regularized alternative to PLSI, which has a severe overfitting problem due to its maximum likelihood structure.
For advanced users who wish to benefit from the latest result, consider using npbayes or MPCA: though, they have data formats different from above.
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Size: 24576 |
Author: 乌龟 |
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Description: SVM Light工具箱 Matlab接口，已经编译好，可直接用(SVMlight, by Joachims, is one of the most widely used SVM classification and regression package. It has a fast optimization algorithm, can be applied to very large datasets, and has a very efficient implementation of the leave-one-out cross-validation. Distributed as C++ source and binaries for Linux, Windows, Cygwin, and Solaris. Kernels: polynomial, radial basis function, and neural (tanh).)
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Size: 66560 |
Author: ym89413
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