文件名称:SVMmatlab
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支持向量机的matlab商业软件包，附有中文和英文使用手册说明，可以在对算法不了解的基础上，利用简单的命令完成支持向量机的分类和回归建模-Support vector machine (SVM) commercial software package in matlab, accompanied by Chinese and English manual, can be on the basis of the algorithm does not understand, using simple commands to complete the support vector machine (SVM) classification and regression modeling
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下载文件列表
tutorialv1_8.pdf
LSSVMlabv1_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
LS-SVM相关教程.doc
LSSVMlabv1_8_R2009b_R2011a