Is a new version lssvm1.7 toolbox for classification and regression, compared with libsvm can get good results

LSSVMlab_v17_R2009b_R2010b\LS-SVMLab v1.7 (R2009b-R2010b)\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
..........................\..............................\medae.m
..........................\..............................\misclass.m
..........................\..............................\MLP_kernel.m
..........................\..............................\mse.m
..........................\..............................\plotlssvm.m
..........................\..............................\poly_kernel.m
..........................\..............................\postlssvm.m
..........................\....

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