文件名称:最小二乘法支持向量机
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有关lssvm相关教程,其解释和程序,并带有使用指南。b本人已调试过次程序并且用在分类效果很好。
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压缩包 : 7327816dirichlet_fit.rar 列表 dirichlet_fit.m
压缩包 : LSSVMlabv1_8_R2006a_R2009a.zip 列表 LSSVMlabv1_8_R2006a_R2009a/ LSSVMlabv1_8_R2006a_R2009a/AFEm.m LSSVMlabv1_8_R2006a_R2009a/bay_errorbar.m LSSVMlabv1_8_R2006a_R2009a/bay_initlssvm.m LSSVMlabv1_8_R2006a_R2009a/bay_lssvm.m LSSVMlabv1_8_R2006a_R2009a/bay_lssvmARD.m LSSVMlabv1_8_R2006a_R2009a/bay_modoutClass.m LSSVMlabv1_8_R2006a_R2009a/bay_optimize.m LSSVMlabv1_8_R2006a_R2009a/bay_rr.m LSSVMlabv1_8_R2006a_R2009a/bitreverse32.m LSSVMlabv1_8_R2006a_R2009a/changelssvm.m LSSVMlabv1_8_R2006a_R2009a/cilssvm.m LSSVMlabv1_8_R2006a_R2009a/code.m LSSVMlabv1_8_R2006a_R2009a/codedist_bay.m LSSVMlabv1_8_R2006a_R2009a/codedist_hamming.m LSSVMlabv1_8_R2006a_R2009a/codedist_loss.m LSSVMlabv1_8_R2006a_R2009a/codelssvm.m LSSVMlabv1_8_R2006a_R2009a/code_ECOC.m LSSVMlabv1_8_R2006a_R2009a/code_MOC.m LSSVMlabv1_8_R2006a_R2009a/code_OneVsAll.m LSSVMlabv1_8_R2006a_R2009a/code_OneVsOne.m LSSVMlabv1_8_R2006a_R2009a/crossvalidate.m LSSVMlabv1_8_R2006a_R2009a/crossvalidatelssvm.m LSSVMlabv1_8_R2006a_R2009a/csa.m LSSVMlabv1_8_R2006a_R2009a/democlass.m LSSVMlabv1_8_R2006a_R2009a/democonfint.m LSSVMlabv1_8_R2006a_R2009a/demofun.m LSSVMlabv1_8_R2006a_R2009a/demomodel.m LSSVMlabv1_8_R2006a_R2009a/demomulticlass.m LSSVMlabv1_8_R2006a_R2009a/demo_fixedclass.m LSSVMlabv1_8_R2006a_R2009a/demo_fixedsize.m LSSVMlabv1_8_R2006a_R2009a/demo_yinyang.m LSSVMlabv1_8_R2006a_R2009a/denoise_kpca.m LSSVMlabv1_8_R2006a_R2009a/eign.m LSSVMlabv1_8_R2006a_R2009a/gcrossvalidate.m LSSVMlabv1_8_R2006a_R2009a/gcrossvalidatelssvm.m LSSVMlabv1_8_R2006a_R2009a/gridsearch.m LSSVMlabv1_8_R2006a_R2009a/initlssvm.m LSSVMlabv1_8_R2006a_R2009a/kentropy.m LSSVMlabv1_8_R2006a_R2009a/kernel_matrix.m LSSVMlabv1_8_R2006a_R2009a/kernel_matrix2.m LSSVMlabv1_8_R2006a_R2009a/kpca.m LSSVMlabv1_8_R2006a_R2009a/latentlssvm.m LSSVMlabv1_8_R2006a_R2009a/latticeseq_b2.m LSSVMlabv1_8_R2006a_R2009a/leaveoneout.m LSSVMlabv1_8_R2006a_R2009a/leaveoneoutlssvm.m LSSVMlabv1_8_R2006a_R2009a/linesearch.m LSSVMlabv1_8_R2006a_R2009a/linf.m LSSVMlabv1_8_R2006a_R2009a/lin_kernel.m LSSVMlabv1_8_R2006a_R2009a/lssvm.m LSSVMlabv1_8_R2006a_R2009a/lssvmMATLAB.m LSSVMlabv1_8_R2006a_R2009a/mae.m LSSVMlabv1_8_R2006a_R2009a/medae.m LSSVMlabv1_8_R2006a_R2009a/misclass.m LSSVMlabv1_8_R2006a_R2009a/MLP_kernel.m LSSVMlabv1_8_R2006a_R2009a/mse.m LSSVMlabv1_8_R2006a_R2009a/plotlssvm.m LSSVMlabv1_8_R2006a_R2009a/poly_kernel.m LSSVMlabv1_8_R2006a_R2009a/postlssvm.m LSSVMlabv1_8_R2006a_R2009a/predict.m LSSVMlabv1_8_R2006a_R2009a/predlssvm.m LSSVMlabv1_8_R2006a_R2009a/preimage_rbf.m LSSVMlabv1_8_R2006a_R2009a/prelssvm.m LSSVMlabv1_8_R2006a_R2009a/progress.m LSSVMlabv1_8_R2006a_R2009a/range.m LSSVMlabv1_8_R2006a_R2009a/RBF_kernel.m LSSVMlabv1_8_R2006a_R2009a/rcrossvalidate.m LSSVMlabv1_8_R2006a_R2009a/rcrossvalidatelssvm.m LSSVMlabv1_8_R2006a_R2009a/ridgeregress.m LSSVMlabv1_8_R2006a_R2009a/ripley.mat LSSVMlabv1_8_R2006a_R2009a/robustlssvm.m LSSVMlabv1_8_R2006a_R2009a/roc.m LSSVMlabv1_8_R2006a_R2009a/rsimplex.m LSSVMlabv1_8_R2006a_R2009a/simann.m LSSVMlabv1_8_R2006a_R2009a/simlssvm.m LSSVMlabv1_8_R2006a_R2009a/simplex.m LSSVMlabv1_8_R2006a_R2009a/smootherlssvm.m LSSVMlabv1_8_R2006a_R2009a/tbform.m LSSVMlabv1_8_R2006a_R2009a/trainlssvm.m LSSVMlabv1_8_R2006a_R2009a/trimmedmse.m LSSVMlabv1_8_R2006a_R2009a/tunelssvm.m LSSVMlabv1_8_R2006a_R2009a/weightingscheme.m LSSVMlabv1_8_R2006a_R2009a/windowize.m LSSVMlabv1_8_R2006a_R2009a/windowizeNARX.m
压缩包 : LS-SVM相关教程.doc 列表
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压缩包 : LS-_SVMlab1.6工具箱用户指南中文版.doc 列表
压缩包 : LSSVMlabv1_8_R2006a_R2009a.zip 列表 LSSVMlabv1_8_R2006a_R2009a/ LSSVMlabv1_8_R2006a_R2009a/AFEm.m LSSVMlabv1_8_R2006a_R2009a/bay_errorbar.m LSSVMlabv1_8_R2006a_R2009a/bay_initlssvm.m LSSVMlabv1_8_R2006a_R2009a/bay_lssvm.m LSSVMlabv1_8_R2006a_R2009a/bay_lssvmARD.m LSSVMlabv1_8_R2006a_R2009a/bay_modoutClass.m LSSVMlabv1_8_R2006a_R2009a/bay_optimize.m LSSVMlabv1_8_R2006a_R2009a/bay_rr.m LSSVMlabv1_8_R2006a_R2009a/bitreverse32.m LSSVMlabv1_8_R2006a_R2009a/changelssvm.m LSSVMlabv1_8_R2006a_R2009a/cilssvm.m LSSVMlabv1_8_R2006a_R2009a/code.m LSSVMlabv1_8_R2006a_R2009a/codedist_bay.m LSSVMlabv1_8_R2006a_R2009a/codedist_hamming.m LSSVMlabv1_8_R2006a_R2009a/codedist_loss.m LSSVMlabv1_8_R2006a_R2009a/codelssvm.m LSSVMlabv1_8_R2006a_R2009a/code_ECOC.m LSSVMlabv1_8_R2006a_R2009a/code_MOC.m LSSVMlabv1_8_R2006a_R2009a/code_OneVsAll.m LSSVMlabv1_8_R2006a_R2009a/code_OneVsOne.m LSSVMlabv1_8_R2006a_R2009a/crossvalidate.m LSSVMlabv1_8_R2006a_R2009a/crossvalidatelssvm.m LSSVMlabv1_8_R2006a_R2009a/csa.m LSSVMlabv1_8_R2006a_R2009a/democlass.m LSSVMlabv1_8_R2006a_R2009a/democonfint.m LSSVMlabv1_8_R2006a_R2009a/demofun.m LSSVMlabv1_8_R2006a_R2009a/demomodel.m LSSVMlabv1_8_R2006a_R2009a/demomulticlass.m LSSVMlabv1_8_R2006a_R2009a/demo_fixedclass.m LSSVMlabv1_8_R2006a_R2009a/demo_fixedsize.m LSSVMlabv1_8_R2006a_R2009a/demo_yinyang.m LSSVMlabv1_8_R2006a_R2009a/denoise_kpca.m LSSVMlabv1_8_R2006a_R2009a/eign.m LSSVMlabv1_8_R2006a_R2009a/gcrossvalidate.m LSSVMlabv1_8_R2006a_R2009a/gcrossvalidatelssvm.m LSSVMlabv1_8_R2006a_R2009a/gridsearch.m LSSVMlabv1_8_R2006a_R2009a/initlssvm.m LSSVMlabv1_8_R2006a_R2009a/kentropy.m LSSVMlabv1_8_R2006a_R2009a/kernel_matrix.m LSSVMlabv1_8_R2006a_R2009a/kernel_matrix2.m LSSVMlabv1_8_R2006a_R2009a/kpca.m LSSVMlabv1_8_R2006a_R2009a/latentlssvm.m LSSVMlabv1_8_R2006a_R2009a/latticeseq_b2.m LSSVMlabv1_8_R2006a_R2009a/leaveoneout.m LSSVMlabv1_8_R2006a_R2009a/leaveoneoutlssvm.m LSSVMlabv1_8_R2006a_R2009a/linesearch.m LSSVMlabv1_8_R2006a_R2009a/linf.m LSSVMlabv1_8_R2006a_R2009a/lin_kernel.m LSSVMlabv1_8_R2006a_R2009a/lssvm.m LSSVMlabv1_8_R2006a_R2009a/lssvmMATLAB.m LSSVMlabv1_8_R2006a_R2009a/mae.m LSSVMlabv1_8_R2006a_R2009a/medae.m LSSVMlabv1_8_R2006a_R2009a/misclass.m LSSVMlabv1_8_R2006a_R2009a/MLP_kernel.m LSSVMlabv1_8_R2006a_R2009a/mse.m LSSVMlabv1_8_R2006a_R2009a/plotlssvm.m LSSVMlabv1_8_R2006a_R2009a/poly_kernel.m LSSVMlabv1_8_R2006a_R2009a/postlssvm.m LSSVMlabv1_8_R2006a_R2009a/predict.m LSSVMlabv1_8_R2006a_R2009a/predlssvm.m LSSVMlabv1_8_R2006a_R2009a/preimage_rbf.m LSSVMlabv1_8_R2006a_R2009a/prelssvm.m LSSVMlabv1_8_R2006a_R2009a/progress.m LSSVMlabv1_8_R2006a_R2009a/range.m LSSVMlabv1_8_R2006a_R2009a/RBF_kernel.m LSSVMlabv1_8_R2006a_R2009a/rcrossvalidate.m LSSVMlabv1_8_R2006a_R2009a/rcrossvalidatelssvm.m LSSVMlabv1_8_R2006a_R2009a/ridgeregress.m LSSVMlabv1_8_R2006a_R2009a/ripley.mat LSSVMlabv1_8_R2006a_R2009a/robustlssvm.m LSSVMlabv1_8_R2006a_R2009a/roc.m LSSVMlabv1_8_R2006a_R2009a/rsimplex.m LSSVMlabv1_8_R2006a_R2009a/simann.m LSSVMlabv1_8_R2006a_R2009a/simlssvm.m LSSVMlabv1_8_R2006a_R2009a/simplex.m LSSVMlabv1_8_R2006a_R2009a/smootherlssvm.m LSSVMlabv1_8_R2006a_R2009a/tbform.m LSSVMlabv1_8_R2006a_R2009a/trainlssvm.m LSSVMlabv1_8_R2006a_R2009a/trimmedmse.m LSSVMlabv1_8_R2006a_R2009a/tunelssvm.m LSSVMlabv1_8_R2006a_R2009a/weightingscheme.m LSSVMlabv1_8_R2006a_R2009a/windowize.m LSSVMlabv1_8_R2006a_R2009a/windowizeNARX.m
压缩包 : LS-SVM相关教程.doc 列表
压缩包 : LS-_SVMlab1.6工具箱用户指南中文版.doc 列表
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