文件名称:SVM-matlab
介绍说明--下载内容均来自于网络,请自行研究使用
经典SVM算法matlab程序,用于各种利用MATLAB对数据进行SVM仿真的实验。-Classical SVM algorithm matlab program for a variety of SVM data using MATLAB simulation experiments.
(系统自动生成,下载前可以参看下载内容)
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\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.m
.....................\............\.........\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_yinyang.m
.....................\............\.........\denoise_kpca.m
.....................\............\.........\eign.m
.....................\............\.........\gridsearch.m
.....................\............\.........\initlssvm.m
.....................\............\.........\kentropy.m
........