中文说明:四种支持向量机SVM工具箱的分类与回归算法。matlab编写
English Description:
Four classification and regression algorithms of SVM toolbox. Matlab programming关注次数: 393
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中文说明:四种支持向量机SVM工具箱的分类与回归算法。matlab编写
English Description:
Four classification and regression algorithms of SVM toolbox. Matlab programmingSVM_luzhenbo
............\Classification_LS_SVMlab.m
............\Classification_OSU_SVM.m
............\Classification_stprtool.m
............\Classification_SVM_SteveGunn.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
............\.........\code.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_yinyang.m
............\.........\denoise_kpca.m
............\.........\eign.m
............\.........\gridsearch.m
............\.........\initlssvm.m
............\.........\kentropy.m
............\.........\kernel_matrix.m
............\.........\kpca.m
............\.........\latentlssvm.m
............\.........\leaveoneout.m
............\.........\leaveoneout_lssvm.m
............\.........\linesearch.m
............\.........\linf.m
............\.........\lin_kernel.m
............\.........\LS-SVMlab Toolbox User's Guide.pdf
............\.........\lssvm.dll
............\.........\lssvm1024.dll
............\.........\lssvm256.dll
............\.........\lssvm64.dll
............\.........\lssvmFILE.exe
............\.........\lssvmFILE.m
............\.........\lssvmFILE1024.exe
............\.........\lssvmFILE256.exe
............\.........\lssvmFILE64.exe
............\.........\lssvmMATLAB.m
............\.........\LS_SVM2.asv
............\.........\medae.m
............\.........\misclass.m
............\.........\MLP_kernel.m
............\.........\mse1.m
............\.........\phitures.dll
............\.........\plotlssvm.m
............\.........\poly_kernel.m
............\.........\postlssvm.m
............\.........\predict.m
............\.........\prelssvm.m
............\.........\RBF_kernel.m
............\.........\rcrossvalidate.m
............\.........\ridgeregress.m
............\.........\robustlssvm.m
............\.........\roc.m
............\.........\simclssvm.dll
............\.........\simclssvm1024.dll
............\.........\simclssvm256.dll
............\.........\simclssvm64.dll
............\.........\simFILE.exe
............\.........\simFILE.m
............\.........\simFILE1024.exe
............\.........\simFILE256.exe
............\.........\simFILE64.exe
............\.........\simlssvm.m
............\.........\sparselssvm.m
............\.........\trainlssvm.m
............\.........\trimmedmse.m
............\.........\tunelssvm.m
............\.........\validate.m
............\.........\windowize.m
............\.........\windowizeNARX.m
............\OSU_SVM3.00
............\...........\cmap.mat
............\...........\Contents.m
............\...........\demo
............\...........\....\c_clademo.m
............\...........\....\c_lindemo.m
............\...........\....\c_poldemo.m
............\...........\....\c_rbfdemo.m