Title:
Gaussian-process-regression Download
Description: 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.
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gpml\doc\alg21.gif
....\...\alg31.gif
....\...\alg32.gif
....\...\alg35.gif
....\...\alg36.gif
....\...\alg51.gif
....\...\alg52.gif
....\...\classification.html
....\...\fig2d.gif
....\...\fig2de1.gif
....\...\fig2de2.gif
....\...\fig2de3.gif
....\...\fig2dl1.gif
....\...\fig2dl2.gif
....\...\fig2dl3.gif
....\...\figepp.gif
....\...\figepp2.gif
....\...\figl.gif
....\...\figl1.gif
....\...\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