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Gaussian Process Regression

于 2021-05-13 发布
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代码说明：

说明：  贝叶斯网络改进LSTM，实现预测，比较好的算法(Bayesian network to improve LSTM, to achieve prediction, a better algorithm)

文件列表：

data, 0 , 2019-10-16
data\data_1.mat, 172953 , 2019-09-05
data\data_2.mat, 4660 , 2019-09-05
demo_1.m, 1209 , 2019-09-05
demo_2.m, 1248 , 2019-09-05
func, 0 , 2019-10-16
func\plotResult.m, 800 , 2019-09-04
Gaussian Processes for Regression - A Quick Introduction.pdf, 321181 , 2019-09-04
gpml-matlab-v4.2-2018-06-11, 0 , 2019-10-16
gpml-matlab-v4.2-2018-06-11\.octaverc, 8 , 2010-07-23
gpml-matlab-v4.2-2018-06-11\Copyright, 1837 , 2018-06-15
gpml-matlab-v4.2-2018-06-11\cov, 0 , 2019-10-16
gpml-matlab-v4.2-2018-06-11\cov\apx.m, 39152 , 2018-06-15
gpml-matlab-v4.2-2018-06-11\cov\apxGrid.m, 38429 , 2018-06-15
gpml-matlab-v4.2-2018-06-11\cov\apxSparse.m, 2915 , 2017-11-26
gpml-matlab-v4.2-2018-06-11\cov\apxState.m, 20647 , 2018-06-15
gpml-matlab-v4.2-2018-06-11\cov\covADD.m, 4141 , 2017-11-26
gpml-matlab-v4.2-2018-06-11\cov\covConst.m, 533 , 2016-10-11
gpml-matlab-v4.2-2018-06-11\cov\covCos.m, 1642 , 2017-11-26
gpml-matlab-v4.2-2018-06-11\cov\covDiscrete.m, 2444 , 2016-08-25
gpml-matlab-v4.2-2018-06-11\cov\covDot.m, 4125 , 2017-11-26
gpml-matlab-v4.2-2018-06-11\cov\covEye.m, 1506 , 2016-08-25
gpml-matlab-v4.2-2018-06-11\cov\covFBM.m, 2480 , 2017-11-26
gpml-matlab-v4.2-2018-06-11\cov\covGabor.m, 2950 , 2016-08-25
gpml-matlab-v4.2-2018-06-11\cov\covGaborard.m, 862 , 2016-10-11
gpml-matlab-v4.2-2018-06-11\cov\covGaboriso.m, 747 , 2016-10-11
gpml-matlab-v4.2-2018-06-11\cov\covGE.m, 1186 , 2016-08-25
gpml-matlab-v4.2-2018-06-11\cov\covLIN.m, 878 , 2017-11-26
gpml-matlab-v4.2-2018-06-11\cov\covLINard.m, 718 , 2017-11-26
gpml-matlab-v4.2-2018-06-11\cov\covLINiso.m, 592 , 2017-11-26
gpml-matlab-v4.2-2018-06-11\cov\covLINone.m, 1478 , 2016-08-25
gpml-matlab-v4.2-2018-06-11\cov\covMaha.m, 8278 , 2017-11-26
gpml-matlab-v4.2-2018-06-11\cov\covMask.m, 2077 , 2017-11-26
gpml-matlab-v4.2-2018-06-11\cov\covMatern.m, 3060 , 2018-06-15
gpml-matlab-v4.2-2018-06-11\cov\covMaternard.m, 992 , 2016-10-11
gpml-matlab-v4.2-2018-06-11\cov\covMaterniso.m, 843 , 2016-10-11
gpml-matlab-v4.2-2018-06-11\cov\covNNone.m, 2181 , 2016-08-25
gpml-matlab-v4.2-2018-06-11\cov\covNoise.m, 808 , 2016-10-11
gpml-matlab-v4.2-2018-06-11\cov\covOne.m, 1112 , 2016-08-25
gpml-matlab-v4.2-2018-06-11\cov\covOU.m, 3690 , 2017-11-26
gpml-matlab-v4.2-2018-06-11\cov\covPER.m, 2825 , 2018-06-15
gpml-matlab-v4.2-2018-06-11\cov\covPERard.m, 707 , 2016-10-11
gpml-matlab-v4.2-2018-06-11\cov\covPeriodic.m, 1834 , 2016-08-25
gpml-matlab-v4.2-2018-06-11\cov\covPeriodicNoDC.m, 4121 , 2016-10-11
gpml-matlab-v4.2-2018-06-11\cov\covPERiso.m, 653 , 2016-10-11
gpml-matlab-v4.2-2018-06-11\cov\covPoly.m, 1728 , 2017-11-26
gpml-matlab-v4.2-2018-06-11\cov\covPP.m, 1920 , 2016-08-25
gpml-matlab-v4.2-2018-06-11\cov\covPPard.m, 940 , 2016-10-11
gpml-matlab-v4.2-2018-06-11\cov\covPPiso.m, 800 , 2016-10-11
gpml-matlab-v4.2-2018-06-11\cov\covPref.m, 2069 , 2016-08-25
gpml-matlab-v4.2-2018-06-11\cov\covProd.m, 3136 , 2016-08-25
gpml-matlab-v4.2-2018-06-11\cov\covRQ.m, 1181 , 2016-08-25
gpml-matlab-v4.2-2018-06-11\cov\covRQard.m, 1319 , 2016-10-11
gpml-matlab-v4.2-2018-06-11\cov\covRQiso.m, 1165 , 2016-10-11
gpml-matlab-v4.2-2018-06-11\cov\covScale.m, 3216 , 2016-08-25
gpml-matlab-v4.2-2018-06-11\cov\covSE.m, 1056 , 2017-11-26
gpml-matlab-v4.2-2018-06-11\cov\covSEard.m, 801 , 2016-10-11
gpml-matlab-v4.2-2018-06-11\cov\covSEiso.m, 704 , 2016-10-11
gpml-matlab-v4.2-2018-06-11\cov\covSEisoU.m, 685 , 2016-10-11
gpml-matlab-v4.2-2018-06-11\cov\covSEproj.m, 674 , 2016-10-11
gpml-matlab-v4.2-2018-06-11\cov\covSEvlen.m, 1229 , 2016-10-11
gpml-matlab-v4.2-2018-06-11\cov\covSM.m, 6966 , 2016-08-25
gpml-matlab-v4.2-2018-06-11\cov\covSum.m, 2619 , 2016-08-25
gpml-matlab-v4.2-2018-06-11\cov\covULL.m, 2120 , 2017-11-26
gpml-matlab-v4.2-2018-06-11\cov\covW.m, 4131 , 2017-11-28
gpml-matlab-v4.2-2018-06-11\cov\covWarp.m, 1988 , 2017-11-28
gpml-matlab-v4.2-2018-06-11\cov\covZero.m, 1116 , 2016-08-25
gpml-matlab-v4.2-2018-06-11\covFunctions.m, 7962 , 2018-08-22
gpml-matlab-v4.2-2018-06-11\doc, 0 , 2019-10-16
gpml-matlab-v4.2-2018-06-11\doc\changelog, 257 , 2018-06-15
gpml-matlab-v4.2-2018-06-11\doc\checkmark.png, 198 , 2010-07-23
gpml-matlab-v4.2-2018-06-11\doc\Copy_of_demoRegression.m, 5188 , 2017-11-27
gpml-matlab-v4.2-2018-06-11\doc\demoClassification.m, 4640 , 2017-11-27
gpml-matlab-v4.2-2018-06-11\doc\demoGrid1d.m, 2968 , 2018-06-15
gpml-matlab-v4.2-2018-06-11\doc\demoGrid2d.m, 4208 , 2018-06-15
gpml-matlab-v4.2-2018-06-11\doc\demoMinimize.m, 910 , 2016-10-11
gpml-matlab-v4.2-2018-06-11\doc\demoRegression.m, 5170 , 2019-09-04
gpml-matlab-v4.2-2018-06-11\doc\demoSparse.m, 3275 , 2016-10-18
gpml-matlab-v4.2-2018-06-11\doc\demoState.m, 3125 , 2018-06-15
gpml-matlab-v4.2-2018-06-11\doc\f0.gif, 26996 , 2016-10-19
gpml-matlab-v4.2-2018-06-11\doc\f1.gif, 4990 , 2013-01-17
gpml-matlab-v4.2-2018-06-11\doc\f2.gif, 15082 , 2013-01-17
gpml-matlab-v4.2-2018-06-11\doc\f3.gif, 13866 , 2013-01-17
gpml-matlab-v4.2-2018-06-11\doc\f4.gif, 13141 , 2013-01-17
gpml-matlab-v4.2-2018-06-11\doc\f5.gif, 19258 , 2013-01-17
gpml-matlab-v4.2-2018-06-11\doc\f6.gif, 28470 , 2013-01-17
gpml-matlab-v4.2-2018-06-11\doc\f7.gif, 31055 , 2013-01-17
gpml-matlab-v4.2-2018-06-11\doc\f8.gif, 14698 , 2013-01-17
gpml-matlab-v4.2-2018-06-11\doc\f9.png, 159343 , 2016-10-28
gpml-matlab-v4.2-2018-06-11\doc\gpml_randn.m, 1109 , 2010-07-23
gpml-matlab-v4.2-2018-06-11\doc\index.html, 65841 , 2018-08-22
gpml-matlab-v4.2-2018-06-11\doc\manual.pdf, 529383 , 2018-08-22
gpml-matlab-v4.2-2018-06-11\doc\README, 21748 , 2018-08-22
gpml-matlab-v4.2-2018-06-11\doc\style.css, 77 , 2010-07-23
gpml-matlab-v4.2-2018-06-11\doc\usageClassification.m, 2660 , 2013-10-16
gpml-matlab-v4.2-2018-06-11\doc\usageCov.m, 3570 , 2018-08-22
gpml-matlab-v4.2-2018-06-11\doc\usageLik.m, 2530 , 2018-08-22
gpml-matlab-v4.2-2018-06-11\doc\usageMean.m, 2264 , 2018-08-22
gpml-matlab-v4.2-2018-06-11\doc\usagePrior.m, 3472 , 2018-08-22
gpml-matlab-v4.2-2018-06-11\doc\usageRegression.m, 2744 , 2016-10-11

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