Description: Matlab are prepared by a support vector machine procedures, tested and effective. Program comes with a demo, there is the Notes.
- [osu-svm] - SVM demo code. Simulation results suppor
- [svm] - Introduction of support vector machine S
- [ginimatlab] - the matlab code of ginisvm- an svm imple
- [bound-constrained_SVM] - bound-constrained SVM
- [newsvm] - Support Vector Machine, a good example o
- [data] - SVM is a support vector machine stands a
File list (Check if you may need any files):
osu-svm
.......\AUTHORS
.......\cmap.mat
.......\Contents.m
.......\COPYING
.......\demo
.......\....\c_clademo.m
.......\....\c_lindemo.m
.......\....\c_poldemo.m
.......\....\c_rbfdemo.m
.......\....\c_svcdemo.m
.......\....\DemoData_class.mat
.......\....\DemoData_test.mat
.......\....\DemoData_train.mat
.......\....\one_rbfdemo.m
.......\....\osusvmdemo.m
.......\....\SVMClassifier.mat
.......\....\u_clademo.m
.......\....\u_lindemo.m
.......\....\u_poldemo.m
.......\....\u_rbfdemo.m
.......\....\u_svcdemo.m
.......\demos.m
.......\LinearSVC.m
.......\mexSVMClass.dll
.......\mexSVMClass.m
.......\mexSVMClass.mexglx
.......\mexSVMClass.mexhp7
.......\mexSVMClass.mexsol
.......\mexSVMTrain.dll
.......\mexSVMTrain.m
.......\mexSVMTrain.mexglx
.......\mexSVMTrain.mexhp7
.......\mexSVMTrain.mexsol
.......\Normalize.m
.......\one_RbfSVC.m
.......\PolySVC.m
.......\RbfSVC.m
.......\Scale.m
.......\SVMClass.m
.......\SVMPlot.m
.......\SVMPlot2.m
.......\SVMTest.m
.......\SVMTrain.m
.......\u_LinearSVC.m
.......\u_PolySVC.m
.......\u_RbfSVC.m