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svm各种工具箱 方法以后查找

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  • TA的每日心情
    奋斗
    昨天 12:31
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    [LV.5]常住居民I

    发表于 2015-8-27 11:13:47 | 显示全部楼层 |阅读模式 |          
    svm各种工具箱(先放着了,省的找起来麻烦^.^)


    NameAuthorInstitutionLanguageExecMulticlassRegressionComments
    BSVMChih-Wei Hsu and Chih-Jen LinNational Taiwan UniversityC++WinYesYes
    Equbits ForesightEqubits LLCEqubits LLCSDKWin???YesCommercial. Contact Equibits LLC for details
    Gini-SVMShantanu ChakrabarttyJohns Hopkins UniversityC++NoYesYesHandles non positive definite kernels
    HeroSvmJianxiong DongConcordia UniversityC++WinYesNoOptimized for Pentium 4
    LEARNSCVojislav Kecman Matlab p-filesN/AYesYesMust pay for source!
    LIBSVMChih-Chung Chang, Chih-Jen LinNational Taiwan UniversityC++, Java, Python, R, MATLAB, Perl, RubyWin/*nixYesYesGraphic interface available
    LS-SVMlabKristiaan Pelckmans, Johan SuykensKatholieke Universiteit LeuvenMatlabWin/*nixYesYesComes with platform-specific MEX files
    Matlab SVM ToolboxS. R. GunnUniversity of SouthamptonMatlabN/ANoYesIncludes a simple GUI
    mySVMStefan RupingUniversitat DortmundC++Win/*nixNoYes
    OSUJunshui Ma, Yi Zhao, and Stanley AhaltOhio State UniversityMatlabN/AYesYesMatlab interface to LIBSVM
    Parallel GPDTT. Serafini, G. Zanghirati, L. ZanniUniversita di FerraraC++NoNoNoDesigned for parallel systems
    pcSVM
    Procoders.netC-NoNo
    RVMsMike TippingMSR CambridgeMatlab-YesYes
    SpiderSVMJason Weston, Andre Elisseeff , Gokhan BakIr , Fabian SinzMax Planck Institute for Biological CyberneticsMatlabN/AYesYesPart of the Spider machine learning library
    Statistical Pattern Recognition Toolbox for MATLABVojtech Franc and Vaclav HlavacCzech Technical University PragueMatlab/CNoYesNoGood online documentation. Everything I′ve tried has worked字串9
    well. Lots of stuff besides SVMs.
    SVMdarkMartin SewellUniversity College LondonCWinNoYes
    SvmFuRyan RifkinMITC++No NoMust be compiled with g++
    SVMLightThorsten JoachimsCornell UniversityCWin/*nixNoYes
    SVMsequelHal Daume IIIUniversity of Southern CaliforniaOCamlNoYesNo"Very fast and handles enormous datasets nicely"
    SVMtorchRonan Collobert and Samy BengioIDIAPC++No?Yes
    SVM ToolboxGavin CawleyUniversity of East Anglia NorwichMatlab/C++NoYesNoBeta version
    WinSVMMartin SewellUniversity College LondonC++WinNoYes



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