文件名称:LS-SVM1
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最小二乘支持向量机的工具箱程序,附可运行的SVM回归的例子,还有工具箱使用说明。-Least Squares Support Vector Machine Toolbox program, you can run the example attached SVM regression, as well as kit instructions.
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下载文件列表
LS-SVM1\LS-SVM.doc
.......\..SVMlabv1_8_R2009b_R2011a\AFEm.m
.......\..........................\bay_errorbar.m
.......\..........................\bay_initlssvm.m
.......\..........................\bay_lssvm.m
.......\..........................\bay_lssvmARD.m
.......\..........................\bay_modoutClass.m
.......\..........................\bay_optimize.m
.......\..........................\bay_rr.m
.......\..........................\bitreverse32.m
.......\..........................\changelssvm.m
.......\..........................\cilssvm.m
.......\..........................\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
.......\..........................\crossvalidate.m
.......\..........................\crossvalidatelssvm.m
.......\..........................\csa.m
.......\..........................\democlass.m
.......\..........................\democonfint.m
.......\..........................\demofun.m
.......\..........................\demomodel.m
.......\..........................\demomulticlass.m
.......\..........................\demo_fixedclass.m
.......\..........................\demo_fixedsize.m
.......\..........................\demo_yinyang.m
.......\..........................\denoise_kpca.m
.......\..........................\eign.m
.......\..........................\gcrossvalidate.m
.......\..........................\gcrossvalidatelssvm.m
.......\..........................\gridsearch.m
.......\..........................\initlssvm.m
.......\..........................\kentropy.m
.......\..........................\kernel_matrix.m
.......\..........................\kernel_matrix2.m
.......\..........................\kpca.m
.......\..........................\latentlssvm.m
.......\..........................\latticeseq_b2.m
.......\..........................\leaveoneout.m
.......\..........................\leaveoneoutlssvm.m
.......\..........................\linesearch.m
.......\..........................\linf.m
.......\..........................\lin_kernel.m
.......\..........................\lssvm.m
.......\..........................\lssvmMATLAB.m
.......\..........................\mae.m
.......\..........................\medae.m
.......\..........................\misclass.m
.......\..........................\MLP_kernel.m
.......\..........................\mse.m
.......\..........................\plotlssvm.m
.......\..........................\poly_kernel.m
.......\..........................\postlssvm.m
.......\..........................\predict.m
.......\..........................\predlssvm.m
.......\..........................\preimage_rbf.m
.......\..........................\prelssvm.m
.......\..........................\progress.m
.......\..........................\range.m
.......\..........................\RBF_kernel.m
.......\..........................\rcrossvalidate.m
.......\..........................\rcrossvalidatelssvm.m
.......\..........................\ridgeregress.m
.......\..........................\robustlssvm.m
.......\..........................\roc.m
.......\..........................\rsimplex.m
.......\..........................\simann.m
.......\..........................\simlssvm.m
.......\..........................\simplex.m
.......\..........................\smootherlssvm.m
.......\..........................\tbform.m
.......\..........................\trainlssvm.m
.......\..........................\trimmedmse.m
.......\..........................\tunelssvm.m
.......\..........................\weightingscheme.m
.......\..........................\windowize.m
.......\..........................\windowizeNARX.m
.......\LSSVM_Fy.m
.......\LSSVMlabv1_8_R2009b_R2011a
LS-SVM1