LS-SVM Toolbox version 1.6. With robust regression and Bayesian inference, and powerful.

LSSVM\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

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