文件名称:svmmatlabtoolbox

  • 所属分类:
  • 数值算法/人工智能
  • 资源属性:
  • [Matlab] [源码]
  • 上传时间:
  • 2012-11-26
  • 文件大小:
  • 147kb
  • 下载次数:
  • 0次
  • 提 供 者:
  • 张*
  • 相关连接:
  • 下载说明:
  • 别用迅雷下载,失败请重下,重下不扣分!

介绍说明--下载内容均来自于网络,请自行研究使用

SVM的matlab工具箱,可以实现支持向量基的分类和回归问题-SVM toolbox of matlab, you can realize support vector-based classification and regression problems
(系统自动生成,下载前可以参看下载内容)

下载文件列表

svm matlab工具箱

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

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

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

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