Description: Using MATLAB support vector machine procedures to achieve, there are training set and test set, the program integrity.
To Search:
- [svmcell] - use SVM optimal algorithm to segment ima
- [SVM--SVM] - support vector machines for the classifi
- [svmandBPwithmatlab] - SVM nonlinear regression procedures comm
- [svm1] - I wrote to do the support vector machine
- [SVM] - This is a SVM for image classification o
- [LSSVMstudy] - Least square method of learning is very
- [svm] - Support vector machine matlab source
- [SVMsuanfashixianVC] - Using VC++ realization of support vector
- [duoyuan] - With c# written in a multiple linear reg
- [SVM] - OpenCV Machine Learning SVM example.
File list (Check if you may need any files):
matlab的svm程序
...............\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