_Gaussian-process-regression

代码说明：

说明：  高斯过程回归代码，包括例程，适用于新入门高斯过程回归的人学习(Gaussian process regression code, including routines, is suitable for new beginners to learn Gaussian process regression)

文件列表：

gpml\doc\alg21.gif, 31996 , 2006-03-07
gpml\doc\alg31.gif, 43172 , 2006-03-07
gpml\doc\alg32.gif, 34064 , 2006-03-07
gpml\doc\alg35.gif, 66673 , 2006-03-07
gpml\doc\alg36.gif, 32226 , 2006-03-07
gpml\doc\alg51.gif, 60084 , 2006-03-07
gpml\doc\alg52.gif, 41085 , 2006-03-07
gpml\doc\classification.html, 34439 , 2006-03-26
gpml\doc\fig2d.gif, 36772 , 2006-03-15
gpml\doc\fig2de1.gif, 35364 , 2006-03-15
gpml\doc\fig2de2.gif, 42683 , 2006-03-15
gpml\doc\fig2de3.gif, 38483 , 2006-03-15
gpml\doc\fig2dl1.gif, 34059 , 2006-03-15
gpml\doc\fig2dl2.gif, 40431 , 2006-03-15
gpml\doc\fig2dl3.gif, 38375 , 2006-03-15
gpml\doc\figepp.gif, 17875 , 2006-03-10
gpml\doc\figepp2.gif, 23299 , 2006-03-10
gpml\doc\figl.gif, 6109 , 2006-03-27
gpml\doc\figl1.gif, 21386 , 2006-03-07
gpml\doc\figlapp.gif, 17854 , 2006-03-09
gpml\doc\figlapp2.gif, 25557 , 2006-03-09
gpml\doc\figlf.gif, 16078 , 2006-03-27
gpml\doc\figlm.gif, 16712 , 2006-03-27
gpml\doc\index.html, 3461 , 2007-06-26
gpml\doc\regression.html, 16598 , 2006-03-29
gpml\doc\sparse-approx.html, 7738 , 2006-03-29
gpml\doc\style.css, 77 , 2006-03-07
gpml\gpml\approxEP.m, 5097 , 2007-07-24
gpml\gpml\approximations.m, 1936 , 2007-06-27
gpml\gpml\approxLA.m, 3094 , 2007-06-26
gpml\gpml\binaryEPGP.m, 2671 , 2007-06-26
gpml\gpml\binaryGP.m, 6941 , 2007-06-27
gpml\gpml\binaryLaplaceGP.m, 3071 , 2007-06-26
gpml\gpml\Contents.m, 2656 , 2007-06-26
gpml\gpml\Copyright, 776 , 2007-06-26
gpml\gpml\covConst.m, 774 , 2007-07-24
gpml\gpml\covFunctions.m, 4136 , 2006-05-15
gpml\gpml\covLINard.m, 1046 , 2006-03-27
gpml\gpml\covLINone.m, 984 , 2006-03-27
gpml\gpml\covMatern3iso.m, 1392 , 2007-06-26
gpml\gpml\covMatern5iso.m, 1417 , 2007-06-26
gpml\gpml\covNNone.m, 2060 , 2007-06-26
gpml\gpml\covNoise.m, 1065 , 2006-03-24
gpml\gpml\covPeriodic.m, 1085 , 2006-04-07
gpml\gpml\covProd.m, 2582 , 2006-04-07
gpml\gpml\covRQard.m, 1811 , 2007-06-26
gpml\gpml\covRQiso.m, 1647 , 2007-06-26
gpml\gpml\covSEard.m, 1713 , 2007-06-26
gpml\gpml\covSEiso.m, 1349 , 2007-06-27
gpml\gpml\covSum.m, 2400 , 2006-03-21
gpml\gpml\cumGauss.m, 3383 , 2007-06-26
gpml\gpml\gauher.m, 2235 , 2007-07-24
gpml\gpml\gpr.m, 2811 , 2006-03-27
gpml\gpml\gprSRPP.m, 2963 , 2006-03-30
gpml\gpml\likelihoods.m, 1222 , 2007-06-26
gpml\gpml\logistic.m, 4453 , 2007-07-25
gpml\gpml\Makefile, 131 , 2006-03-29
gpml\gpml\minimize.m, 8995 , 2006-09-08
gpml\gpml\solve_chol.c, 1236 , 2006-03-13
gpml\gpml\solve_chol.m, 991 , 2006-03-13
gpml\gpml\sq_dist.c, 1931 , 2006-03-13
gpml\gpml\sq_dist.m, 2186 , 2006-03-13
gpml\gpml-demo\Contents.m, 791 , 2006-03-27
gpml\gpml-demo\data_6darm.mat, 22768 , 2006-03-13
gpml\gpml-demo\data_boston.mat, 57040 , 2006-03-29
gpml\gpml-demo\demo_ep_2d.m, 7012 , 2006-03-29
gpml\gpml-demo\demo_ep_usps.m, 6130 , 2006-03-29
gpml\gpml-demo\demo_gparm.m, 8178 , 2016-01-08
gpml\gpml-demo\demo_gpr.m, 9381 , 2016-01-02
gpml\gpml-demo\demo_gprsparse.m, 6512 , 2016-01-01
gpml\gpml-demo\demo_laplace_2d.m, 7257 , 2006-03-29
gpml\gpml-demo\demo_laplace_usps.m, 6134 , 2006-03-29
gpml\gpml-demo\gparm_fval.fig, 3904 , 2016-01-11
gpml\gpml-demo\gparm_res.std.fig, 8399 , 2016-01-11
gpml\gpml-demo\gprgai.m, 2609 , 2016-01-11
gpml\README, 6291 , 2007-07-25
gaussian\calcGP.m, 2551 , 2012-04-27
gaussian\GPtutorial.m, 2919 , 2012-10-27
gaussian\GPtutorialFcn.m, 2043 , 2011-03-31
gaussian\hypSample.m, 509 , 2011-02-03
gaussian\k_GP.m, 1436 , 2010-11-09
gaussian\stdRegion.m, 599 , 2012-10-27
gpml\doc, 0 , 2009-05-01
gpml\gpml, 0 , 2016-01-07
gpml\gpml-demo, 0 , 2016-01-11
gpml, 0 , 2009-05-01
gaussian, 0 , 2016-01-14