LSSVM

代码说明：

  最小二乘支持向量机工具箱1.6版。含稳健回归和贝叶斯推理，功能强大。(LS-SVM Toolbox version 1.6. With robust regression and Bayesian inference, and powerful.)

文件列表：

LSSVM
.....\AFEm.m,3437,2014-07-09
.....\bay_errorbar.m,5785,2014-07-09
.....\bay_initlssvm.m,1998,2014-07-09
.....\bay_lssvm.m,10339,2014-07-09
.....\bay_lssvmARD.m,8187,2014-07-09
.....\bay_modoutClass.m,9358,2014-07-09
.....\bay_optimize.m,5843,2014-07-09
.....\bay_rr.m,4312,2014-07-09
.....\bitreverse32.m,1479,2014-07-09
.....\changelssvm.m,5576,2014-07-09
.....\cilssvm.m,4744,2014-07-09
.....\code.m,4245,2014-07-09
.....\codedist_bay.m,2107,2014-07-09
.....\codedist_hamming.m,753,2014-07-09
.....\codedist_loss.m,2015,2014-07-09
.....\codelssvm.m,4126,2014-07-09
.....\code_ECOC.m,5194,2014-07-09
.....\code_MOC.m,548,2014-07-09
.....\code_OneVsAll.m,361,2014-07-09
.....\code_OneVsOne.m,576,2014-07-09
.....\crossvalidate.m,5847,2014-07-09
.....\crossvalidatelssvm.m,3941,2014-07-09
.....\csa.m,3188,2014-07-09
.....\democlass.m,3461,2014-07-09
.....\democonfint.m,2147,2014-07-09
.....\demofun.m,3972,2014-07-09
.....\demomodel.m,4772,2014-07-09
.....\demomulticlass.m,2299,2014-07-09
.....\demo_fixedclass.m,2251,2014-07-09
.....\demo_fixedsize.m,3233,2014-07-09
.....\demo_yinyang.m,3447,2014-07-09
.....\denoise_kpca.m,3596,2014-07-09
.....\eign.m,3783,2014-07-09
.....\gcrossvalidate.m,3300,2014-07-09
.....\gcrossvalidatelssvm.m,2092,2014-07-09
.....\gridsearch.m,6922,2014-07-09
.....\initlssvm.m,3327,2014-07-09
.....\kentropy.m,2201,2014-07-09
.....\kernel_matrix.m,3569,2014-07-09
.....\kernel_matrix2.m,795,2014-07-09
.....\kpca.m,6261,2014-07-09
.....\latentlssvm.m,2395,2014-07-09
.....\latticeseq_b2.m,5836,2014-07-09
.....\leaveoneout.m,3665,2014-07-09
.....\leaveoneoutlssvm.m,2399,2014-07-09
.....\linesearch.m,3755,2014-07-09
.....\linf.m,310,2014-07-09
.....\lin_kernel.m,529,2014-07-09
.....\lssvm.m,1764,2014-07-09
.....\lssvmMATLAB.m,2079,2014-07-09
.....\mae.m,281,2014-07-09
.....\medae.m,302,2014-07-09
.....\misclass.m,684,2014-07-09
.....\MLP_kernel.m,603,2014-07-09
.....\mse.m,282,2014-07-09
.....\plotlssvm.m,9947,2014-07-09
.....\poly_kernel.m,623,2014-07-09
.....\postlssvm.m,4835,2014-07-09
.....\predict.m,3482,2014-07-09
.....\predlssvm.m,5300,2014-07-09
.....\preimage_rbf.m,4453,2014-07-09
.....\prelssvm.m,6319,2014-07-09
.....\progress.m,1147,2014-07-09
.....\range.m,173,2014-07-09
.....\RBF_kernel.m,1105,2014-07-09
.....\rcrossvalidate.m,5941,2014-07-09
.....\rcrossvalidatelssvm.m,4151,2014-07-09
.....\ridgeregress.m,1431,2014-07-09
.....\robustlssvm.m,2145,2014-07-09
.....\roc.m,7483,2014-07-09
.....\rsimplex.m,9913,2014-07-09
.....\simann.m,5365,2014-07-09
.....\simlssvm.m,6414,2014-07-09
.....\simplex.m,9799,2014-07-09
.....\smootherlssvm.m,1144,2014-07-09
.....\tbform.m,3207,2014-07-09
.....\trainlssvm.m,8705,2014-07-09
.....\trimmedmse.m,1708,2014-07-09
.....\tunelssvm.m,22683,2014-07-09
.....\weightingscheme.m,928,2014-07-09
.....\windowize.m,1934,2014-07-09
.....\windowizeNARX.m,1829,2014-07-09