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Description: JNI Kernel Extension for SVMlight的windows实现，可以直接在windows下使用
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Size: 70600 |
Author: 徐芬 |
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Description: svm(支持向量机)是著名的分类算法，svmlight是其中的一种实现的最新版本。完全开源。
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Size: 1274683 |
Author: maming |
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Description: 用vc调试好的svmlight。方便实用。-It has been debuged under the Visual C environment. It s very convenient and applied.
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Size: 516182 |
Author: 质量 |
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Description: 用vc调试好的svmlight。方便实用。-It has been debuged under the Visual C environment. It s very convenient and applied.
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Size: 516096 |
Author: 质量 |
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Description: svmLight 分类器，使用方便，有原代码可扩充算法。 -svmLight classifier, easy to use, the original code algorithm can be expanded.
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Size: 427008 |
Author: dzl |
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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: 一个简洁好用的SVM代码，进行了mex集成，效率高，易读易用。-prepare a concise code of SVM, the Files integrated, high efficiency, easy accessibility.
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Size: 508928 |
Author: 胡恩良 |
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Description: JNI Kernel Extension for SVMlight，实现在svmLight上的进一步开发-JNI Kernel Extension for SVMlight, realize in the further development of svmLight
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Size: 12288 |
Author: 徐芬 |
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Description: JNI Kernel Extension for SVMlight的windows实现，可以直接在windows下使用-JNI Kernel Extension for SVMlight realize the windows, you can use directly in the windows
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Size: 70656 |
Author: 徐芬 |
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Description: JNI Kernel Extension for SVMlight的文档，帮助理解-JNI Kernel Extension for SVMlight of documents to help understand
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Size: 18432 |
Author: 徐芬 |
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Description: svm(支持向量机)是著名的分类算法，svmlight是其中的一种实现的最新版本。完全开源。-svm (support vector machine) is a well-known classification algorithm, svmlight is one of the latest version of the achievement. Completely open source.
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Size: 1274880 |
Author: maming |
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Description: 目前的svm(支持向量机)分类算法开源实现如svmlight和svmlib都没有界面，使用不方便。这个程序基于svmlight整合在VC++开发环境。将给VC用户带来极大方便。-Current svm (support vector machine) classification algorithm, such as open source to achieve svmlight and have not svmlib interface, the use of inconvenient. This process-based integration svmlight in VC++ Development environment. VC will give users a great convenience.
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Size: 729088 |
Author: maming |
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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: New training algorithm for linear classification SVMs that can be much faster than SVMlight for large datasets. It also lets you direcly optimize multivariate performance measures like F1-Score, ROC-Area, and the Precision/Recall Break-Even Point.
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Size: 87040 |
Author: 张山 |
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Description: read in a problem (in svmlight format)
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Size: 1024 |
Author: 葛建华 |
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Description: SVMLight算法,Algorithm-SVMLight-0.08.tar.gz
-SVMLight algorithm, Algorithm-SVMLight-0.08.tar.gz
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Size: 16384 |
Author: mypu000001 |
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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: 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: 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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