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[AI-NN-PRSVMLight_vc

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.
Platform: | Size: 1600512 | Author: 邵云 | Hits:

[AI-NN-PRsvmlight

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
Platform: | Size: 1937408 | Author: Mingjie Qian | Hits:

[matlabsvmlight

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.
Platform: | Size: 264192 | Author: lshun | Hits:

[matlabsvmlight

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
Platform: | Size: 4249600 | Author: hezhangming | Hits:

[matlablda-0.2-matlab.tar

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.
Platform: | Size: 24576 | Author: 乌龟 | Hits:

[Windows Developsvm_light_windows32

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).)
Platform: | Size: 66560 | Author: ym89413 | Hits:

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