SVM_toolbox01

代码说明：

  支持向量机作为统计学习理论的实现方法，能很好地解决非线性和高维数问题，克服了神经网络方法收敛慢、解不稳定、推广性差的缺点，近年来得到了广泛地研究，在模式识别、信号处理、控制、通讯等方面得到了广泛地应用。(Support Vector Machine as the implementation of statistical learning theory approach, can be a good solution to the nonlinear and high dimension problem, the neural network method to overcome the slow convergence, solution instability, bad promotion of sexual shortcomings, in recent years has been widely studied, at pattern recognition, signal processing, control, communications, etc. has been widely applied.)

文件列表：

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
...........\....\c_svcdemo.m
...........\....\DemoData_class.mat
...........\....\DemoData_test.mat
...........\....\DemoData_train.mat
...........\....\one_rbfdemo.m