文件名称:SVM_luzhenbo

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四种支持向量机用于函数拟合与模式识别的Matlab示例程序,很全面-Four support vector machines for pattern recognition function fitting with Matlab example program, it is a comprehensive
相关搜索: 支持向量机
matlab

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下载文件列表

SVM_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

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