文件名称:SvmsourcecodewrittenwithMATLAB

  • 所属分类:
  • 图形/文字识别
  • 资源属性:
  • [Matlab] [源码]
  • 上传时间:
  • 2012-11-26
  • 文件大小:
  • 197kb
  • 下载次数:
  • 0次
  • 提 供 者:
  • 孙*
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用MATLAB编写的svm源程序,可以实现支持向量机,用于特征分类或提取。-Svm source code written with MATLAB, you can achieve the support vector machine for classification or feature extraction.
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下载文件列表

SvmsourcecodewrittenwithMATLAB\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\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

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

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

..............................\newsvm\Examples\Classification

..............................\......\........\Regression

..............................\Examples\Classification

..............................\........\Regression

..............................\newsvm\Examples

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