文件名称:SVM

  • 所属分类:
  • 数据挖掘
  • 资源属性:
  • [Matlab] [源码]
  • 上传时间:
  • 2015-12-15
  • 文件大小:
  • 10.72mb
  • 下载次数:
  • 0次
  • 提 供 者:
  • le***
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SVM多分类算法的一些程序,有很多种类型,包括经典的四种工具箱,还有代价敏感支持向量机,超球面支持向量机等-Some programs about SVM multi-classification algorithm, there are many types, including the classic four toolbox, as well as the price-sensitive support vector machine, hypersphere support vector machine
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下载文件列表





SVM\SVM入门.doc

...\最小二乘支持向量机.rar

...\SVM多项分类.doc

...\SVM算法matlab程序.rar

...\.................\经典SVM算法matlab程序\svm\Optimiser\Makefile

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

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

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

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

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

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

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

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

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

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

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

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

...\.................\.....................\...\binomial.m

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

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

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

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

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

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

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

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

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

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

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

...\.................\.....................\...\............\.........\1.txt

...\.................\.....................\...\............\.........\2.txt

...\.................\.....................\...\............\.........\3.txt

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

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

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

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

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

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

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

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

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

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

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