文件名称:SVM-matlab

  • 所属分类:
  • matlab例程
  • 资源属性:
  • [Matlab] [源码]
  • 上传时间:
  • 2013-11-17
  • 文件大小:
  • 3.76mb
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  • 0次
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  • Z**
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经典SVM算法matlab程序,用于各种利用MATLAB对数据进行SVM仿真的实验。-Classical SVM algorithm matlab program for a variety of SVM data using MATLAB simulation experiments.
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下载文件列表





经典SVM算法matlab程序\svm\binomial.m

.....................\...\centrefig.m

.....................\...\cmap.mat

.....................\...\Contents.m

.....................\...\Examples\Classification\iris1v23.mat

.....................\...\........\..............\iris2v13.mat

.....................\...\........\..............\iris3v12.mat

.....................\...\........\..............\linsep.mat

.....................\...\........\..............\nlinsep.mat

.....................\...\........\Regression\example.mat

.....................\...\........\..........\sinc.mat

.....................\...\........\..........\titanium.mat

.....................\...\newsvm.zip

.....................\...\nobias.m

.....................\...\Optimiser\Makefile

.....................\...\.........\pr_loqo.c

.....................\...\.........\pr_loqo.h

.....................\...\.........\qp.c

.....................\...\.........\qp.dll

.....................\...\qp.dll

.....................\...\README

.....................\...\softmargin.m

.....................\...\svc.m

.....................\...\svcerror.m

.....................\...\svcinfo.m

.....................\...\svcoutput.m

.....................\...\svcplot.m

.....................\...\svdatanorm.m

.....................\...\svkernel.m

.....................\...\svr.m

.....................\...\svrerror.m

.....................\...\svroutput.m

.....................\...\svrplot.m

.....................\...\svtol.m

.....................\...\uiclass.m

.....................\...\uiclass.mat

.....................\...\uiregress.m

.....................\...\uiregress.mat

.....................\SVM_luzhenbo\Classification_stprtool.m

.....................\............\Classification_SVM_SteveGunn.m

.....................\............\codelssvm.m

.....................\............\initlssvm.m

.....................\............\kernel_matrix.m

.....................\............\lssvmMATLAB.m

.....................\............\LS_SVMlab\AFE.m

.....................\............\.........\bay_errorbar.m

.....................\............\.........\bay_initlssvm.m

.....................\............\.........\bay_lssvm.m

.....................\............\.........\bay_lssvmARD.m

.....................\............\.........\bay_modoutClass.m

.....................\............\.........\bay_optimize.m

.....................\............\.........\bay_rr.m

.....................\............\.........\buffer.mc

.....................\............\.........\changelssvm.m

.....................\............\.........\Classifacation_fourfaults.m

.....................\............\.........\Classification_fourfaults_4000_6000.m

.....................\............\.........\Classification_LS_SVMlab.m

.....................\............\.........\code.m

.....................\............\.........\codedist_bay.m

.....................\............\.........\codedist_hamming.m

.....................\............\.........\codedist_loss.m

.....................\............\.........\codelssvm.m

.....................\............\.........\code_ECOC.m

.....................\............\.........\code_MOC.m

.....................\............\.........\code_OneVsAll.m

.....................\............\.........\code_OneVsOne.m

.....................\............\.........\Contents.m

.....................\............\.........\crossvalidate.m

.....................\............\.........\deltablssvm.m

.....................\............\.........\democlass.m

.....................\............\.........\demofun.m

.....................\............\.........\demomodel.m

.....................\............\.........\demo_fixedclass.m

.....................\............\.........\demo_fixedsize.m

.....................\............\.........\demo_yinyang.m

.....................\............\.........\denoise_kpca.m

.....................\............\.........\eign.m

.....................\............\.........\gridsearch.m

.....................\............\.........\initlssvm.m

.....................\............\.........\kentropy.m

........

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