gpml

  高斯过程在回归和分类问题中的应用，注释详细(Gaussian process regression and classification problems in the application, comments, details)

gpml
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....\...\classification.html
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....\...\index.html
....\...\regression.html
....\...\sparse-approx.html
....\...\style.css
....\gpml
....\....\approxEP.m
....\....\approximations.m
....\....\approxLA.m
....\....\binaryEPGP.m
....\....\binaryGP.m
....\....\binaryLaplaceGP.m
....\....\Contents.m
....\....\htm" target=_blank>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
....\gpml-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
....\htm" target=_blank>README