Gaussian process regression and classification code, content, there are instances, comments clear.Including classification and forecasting return series, is worthy of reference for anyone interested in learning.

gpml\doc\alg21.gif
....\...\alg31.gif
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....\...\alg35.gif
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....\...\alg51.gif
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....\...\classification.html
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....\...\figl.gif
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....\...\figlapp.gif
....\...\figlapp2.gif
....\...\figlf.gif
....\...\figlm.gif
....\...\index.html
....\...\regression.html
....\...\sparse-approx.html
....\...\style.css
....\gpml\approxEP.m
....\....\approximations.m
....\....\approxLA.m
....\....\binaryEPGP.m
....\....\binaryGP.m
....\....\binaryLaplaceGP.m
....\....\Contents.m
....\....\Copyright
....\....\covConst.m
....\....\covFunctions.m
....\....\covLINard.m
....\....\covLINone.m
....\....\covMatern3iso.m
....\....\covMatern5iso.m
....\....\covNNone.m
....\....\covNoise.m
....\....\covPeriodic.m
....\....\covProd.m
....\....\covRQard.m
....\....\covRQiso.m
....\....\covSEard.m
....\....\covSEiso.m
....\....\covSum.m
....\....\cumGauss.m
....\....\gauher.m
....\....\gpr.m
....\....\gprSRPP.m
....\....\likelihoods.m
....\....\logistic.m
....\....\Makefile
....\....\minimize.m
....\....\solve_chol.c
....\....\solve_chol.m
....\....\sq_dist.c
....\....\sq_dist.m
....\....-demo\Contents.m
....\.........\data_6darm.mat
....\.........\data_boston.mat
....\.........\demo_ep_2d.m
....\.........\demo_ep_usps.m
....\.........\demo_gparm.m
....\.........\demo_gpr.m
....\.........\demo_gprsparse.m
....\.........\demo_laplace_2d.m
....\.........\demo_laplace_usps.m
....\.........\gparm_fval.fig
....\.........\gparm_res.std.fig
....\.........\gprgai.m
....\README
.aussian\calcGP.m
........\GPtutorial.m
........\GPtutorialFcn.m
........\hypSample.m
........\k_GP.m
........\stdRegion.m
.pml\doc
....\gpml
....\gpml-demo
gpml
gaussian

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