文件名称:four-Toolbox-for-SVM

  • 所属分类:
  • matlab例程
  • 资源属性:
  • [Matlab] [源码]
  • 上传时间:
  • 2012-11-26
  • 文件大小:
  • 2.7mb
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  • 0次
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  • 肖*
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SVM分类器,关键是对信号进行分类,是模式识别的必备宝典-SVM classifier, the key is to classify the signal is essential for pattern recognition Collection
(系统自动生成,下载前可以参看下载内容)

下载文件列表

基于四种SVM工具箱的分类与回归算法\Classification_LS_SVMlab.m

.................................\Classification_OSU_SVM.m

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

.................................\Classification_SVM_SteveGunn.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

.................................\.........\code.asv

.................................\.........\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

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

.................................\.........\kpca.m

.................................\.........\latentlssvm.m

.................................\.........\leaveoneout.m

.................................\.........\leaveoneout_lssvm.m

.................................\.........\linesearch.m

.................................\.........\linf.m

.................................\.........\lin_kernel.m

.................................\.........\LS-SVMlab Toolbox User's Guide.pdf

.................................\.........\lssvm.dll

.................................\.........\lssvm1024.dll

.................................\.........\lssvm256.dll

.................................\.........\lssvm64.dll

.................................\.........\lssvmFILE.exe

.................................\.........\lssvmFILE.m

.................................\.........\lssvmFILE1024.exe

.................................\.........\lssvmFILE256.exe

.................................\.........\lssvmFILE64.exe

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

.................................\.........\LS_SVM2.asv

.................................\.........\medae.m

.................................\.........\misclass.m

.................................\.........\MLP_kernel.m

.................................\.........\mse1.m

.................................\.........\phitures.dll

.................................\.........\plotlssvm.m

.................................\.........\poly_kernel.m

.................................\.........\postlssvm.m

.................................\.........\predict.m

.................................\.........\prelssvm.m

.................................\.........\RBF_kernel.m

.................................\.........\rcrossvalidate.m

.................................\.........\ridgeregress.m

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