文件名称:svm
- 所属分类：
- 数值算法/人工智能
- 资源属性：
- [Windows] [Visual C] [源码]
- 上传时间：
- 2012-11-26
- 文件大小：
- 245kb
- 下载次数：
- 0次
- 提 供 者：
- yaog*****
- 相关连接：
- 无
- 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
丰富的支持向量机资料，不仅有源代码，还有例子，供对此感兴趣的参考使用-Support vector machine, mainly used in data mining
相关搜索： 支持向量机
(系统自动生成,下载前可以参看下载内容)
下载文件列表
svm特征选择\1.fig
...........\binomial.m
...........\centrefig.m
...........\cmap.mat
...........\Contents.m
...........\Examples\Classification\iris1v23.mat
...........\........\..............\iris2v13.mat
...........\........\..............\iris3v12.mat
...........\........\..............\linsep.mat
...........\........\..............\nlinsep.mat
...........\........\Regression\1.mat
...........\........\..........\2.mat
...........\........\..........\example.mat
...........\........\..........\sinc.mat
...........\........\..........\titanium.mat
...........\linearw.m
...........\newsvm.zip
...........\nobias.m
...........\Optimiser\Makefile
...........\.........\pr_loqo.c
...........\.........\pr_loqo.dsp
...........\.........\pr_loqo.dsw
...........\.........\pr_loqo.h
...........\.........\pr_loqo.ncb
...........\.........\pr_loqo.opt
...........\.........\pr_loqo.plg
...........\.........\qp.c
...........\.........\qp.dll
...........\POLYKERFS.asv
...........\POLYKERFS.m
...........\qp.dll
...........\RBFKERFS.m
...........\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
...........\Examples\Classification
...........\........\Regression
...........\Optimiser\Debug
...........\Examples
...........\Optimiser
svm特征选择
...........\binomial.m
...........\centrefig.m
...........\cmap.mat
...........\Contents.m
...........\Examples\Classification\iris1v23.mat
...........\........\..............\iris2v13.mat
...........\........\..............\iris3v12.mat
...........\........\..............\linsep.mat
...........\........\..............\nlinsep.mat
...........\........\Regression\1.mat
...........\........\..........\2.mat
...........\........\..........\example.mat
...........\........\..........\sinc.mat
...........\........\..........\titanium.mat
...........\linearw.m
...........\newsvm.zip
...........\nobias.m
...........\Optimiser\Makefile
...........\.........\pr_loqo.c
...........\.........\pr_loqo.dsp
...........\.........\pr_loqo.dsw
...........\.........\pr_loqo.h
...........\.........\pr_loqo.ncb
...........\.........\pr_loqo.opt
...........\.........\pr_loqo.plg
...........\.........\qp.c
...........\.........\qp.dll
...........\POLYKERFS.asv
...........\POLYKERFS.m
...........\qp.dll
...........\RBFKERFS.m
...........\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
...........\Examples\Classification
...........\........\Regression
...........\Optimiser\Debug
...........\Examples
...........\Optimiser
svm特征选择