最小二乘支持向量机的工具箱我要分享

LSSVM工具箱

AFEm.m

MLP_kernel.m

RBF_kernel.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

code_ECOC.m

code_MOC.m

code_OneVsAll.m

code_OneVsOne.m

codedist_bay.m

codedist_hamming.m

codedist_loss.m

codelssvm.m

crossvalidate.m

crossvalidatelssvm.m

csa.m

demo_fixedclass.m

demo_fixedsize.m

demo_yinyang.m

democlass.m

democonfint.m

demofun.m

demomodel.m

demomulticlass.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

lin_kernel.m

linesearch.m

linf.m

lssvm.m

lssvmMATLAB.m

mae.m

medae.m

misclass.m

mse.m

plotlssvm.m

poly_kernel.m

postlssvm.m

predict.m

predlssvm.m

preimage_rbf.m

prelssvm.m

progress.m

range.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