文件名称:SVM-matlab
- 所属分类：
- 人工智能/神经网络/遗传算法
- 资源属性：
- [Matlab] [源码]
- 上传时间：
- 2013-09-03
- 文件大小：
- 4.55mb
- 下载次数：
- 0次
- 提 供 者：
- 姜**
- 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
svm的各种经典的程序，用于对数据、图像进行分类，回归。其中，既包含分两类的程序，也包括分多类的程序，以及svm改进算法的程序。-svm various classic procedures for data, image classification, regression. Which contains both the two types of procedures, including many types of procedures and svm algorithm procedures.
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下载文件列表
经典SVM算法matlab程序\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.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
.....................\SVM_luzhenbo\Classification_stprtool.m
.....................\............\Classification_SVM_SteveGunn.m
.....................\............\codelssvm.m
.....................\............\initlssvm.m
.....................\............\kernel_matrix.m
.....................\............\lssvmMATLAB.m
.....................\............\LS_SVMlab\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
.....................\............\.........\buffer.mc
.....................\............\.........\changelssvm.m
.....................\............\.........\Classifacation_fourfaults.m
.....................\............\.........\Classification_fourfaults_4000_6000.m
.....................\............\.........\Classification_LS_SVMlab.asv
.....................\............\.........\Classification_LS_SVMlab.m
.....................\............\.........\Classification_LS_SVMlab2.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