文件名称:GPR based on GPML-V4.1
介绍说明－－下载内容均来自于网络，请自行研究使用
基于 gpml-matlab-v4.1 工具箱，简单实现了高斯过程回归（Gaussian process regression，GPR）的多变量数据回归，给出了每个预测值的均值以及对应的方差。代码有详细的注释，附有训练数据和测试数据。(Based on the gpml-matlab-v4.1 toolbox, Gaussian process regression (GPR) multivariate data regression is simply implemented, and the mean and corresponding variance of each predictor are given. The code has detailed notes with training data and test data.)
(系统自动生成,下载前可以参看下载内容)
下载文件列表
| 文件名 | 大小 | 更新时间 |
|---|---|---|
| gpml-matlab-v4.1-2017-10-19\.octaverc | 8 | 2010-07-23 |
| gpml-matlab-v4.1-2017-10-19\Copyright | 1837 | 2017-11-26 |
| gpml-matlab-v4.1-2017-10-19\cov\apx.m | 32983 | 2017-11-26 |
| gpml-matlab-v4.1-2017-10-19\cov\apxGrid.m | 35628 | 2017-11-26 |
| gpml-matlab-v4.1-2017-10-19\cov\apxSparse.m | 2915 | 2017-11-26 |
| gpml-matlab-v4.1-2017-10-19\cov\covADD.m | 4141 | 2017-11-26 |
| gpml-matlab-v4.1-2017-10-19\cov\covConst.m | 533 | 2016-10-11 |
| gpml-matlab-v4.1-2017-10-19\cov\covCos.m | 1642 | 2017-11-26 |
| gpml-matlab-v4.1-2017-10-19\cov\covDiscrete.m | 2444 | 2016-08-25 |
| gpml-matlab-v4.1-2017-10-19\cov\covDot.m | 4125 | 2017-11-26 |
| gpml-matlab-v4.1-2017-10-19\cov\covEye.m | 1506 | 2016-08-25 |
| gpml-matlab-v4.1-2017-10-19\cov\covFBM.m | 2480 | 2017-11-26 |
| gpml-matlab-v4.1-2017-10-19\cov\covGabor.m | 2950 | 2016-08-25 |
| gpml-matlab-v4.1-2017-10-19\cov\covGaborard.m | 862 | 2016-10-11 |
| gpml-matlab-v4.1-2017-10-19\cov\covGaboriso.m | 747 | 2016-10-11 |
| gpml-matlab-v4.1-2017-10-19\cov\covGE.m | 1186 | 2016-08-25 |
| gpml-matlab-v4.1-2017-10-19\cov\covLIN.m | 878 | 2017-11-26 |
| gpml-matlab-v4.1-2017-10-19\cov\covLINard.m | 718 | 2017-11-26 |
| gpml-matlab-v4.1-2017-10-19\cov\covLINiso.m | 592 | 2017-11-26 |
| gpml-matlab-v4.1-2017-10-19\cov\covLINone.m | 1478 | 2016-08-25 |
| gpml-matlab-v4.1-2017-10-19\cov\covMaha.m | 8278 | 2017-11-26 |
| gpml-matlab-v4.1-2017-10-19\cov\covMask.m | 2077 | 2017-11-26 |
| gpml-matlab-v4.1-2017-10-19\cov\covMatern.m | 3060 | 2017-11-26 |
| gpml-matlab-v4.1-2017-10-19\cov\covMaternard.m | 992 | 2016-10-11 |
| gpml-matlab-v4.1-2017-10-19\cov\covMaterniso.m | 843 | 2016-10-11 |
| gpml-matlab-v4.1-2017-10-19\cov\covNNone.m | 2181 | 2016-08-25 |
| gpml-matlab-v4.1-2017-10-19\cov\covNoise.m | 808 | 2016-10-11 |
| gpml-matlab-v4.1-2017-10-19\cov\covOne.m | 1112 | 2016-08-25 |
| gpml-matlab-v4.1-2017-10-19\cov\covOU.m | 3690 | 2017-11-26 |
| gpml-matlab-v4.1-2017-10-19\cov\covPER.m | 2744 | 2016-08-25 |
| gpml-matlab-v4.1-2017-10-19\cov\covPERard.m | 707 | 2016-10-11 |
| gpml-matlab-v4.1-2017-10-19\cov\covPeriodic.m | 1834 | 2016-08-25 |
| gpml-matlab-v4.1-2017-10-19\cov\covPeriodicNoDC.m | 4121 | 2016-10-11 |
| gpml-matlab-v4.1-2017-10-19\cov\covPERiso.m | 653 | 2016-10-11 |
| gpml-matlab-v4.1-2017-10-19\cov\covPoly.m | 1728 | 2017-11-26 |
| gpml-matlab-v4.1-2017-10-19\cov\covPP.m | 1920 | 2016-08-25 |
| gpml-matlab-v4.1-2017-10-19\cov\covPPard.m | 940 | 2016-10-11 |
| gpml-matlab-v4.1-2017-10-19\cov\covPPiso.m | 800 | 2016-10-11 |
| gpml-matlab-v4.1-2017-10-19\cov\covPref.m | 2069 | 2016-08-25 |
| gpml-matlab-v4.1-2017-10-19\cov\covProd.m | 3136 | 2016-08-25 |
| gpml-matlab-v4.1-2017-10-19\cov\covRQ.m | 1181 | 2016-08-25 |
| gpml-matlab-v4.1-2017-10-19\cov\covRQard.m | 1319 | 2016-10-11 |
| gpml-matlab-v4.1-2017-10-19\cov\covRQiso.m | 1165 | 2016-10-11 |
| gpml-matlab-v4.1-2017-10-19\cov\covScale.m | 3216 | 2016-08-25 |
| gpml-matlab-v4.1-2017-10-19\cov\covSE.m | 1056 | 2017-11-26 |
| gpml-matlab-v4.1-2017-10-19\cov\covSEard.m | 801 | 2016-10-11 |
| gpml-matlab-v4.1-2017-10-19\cov\covSEiso.m | 704 | 2016-10-11 |
| gpml-matlab-v4.1-2017-10-19\cov\covSEisoU.m | 685 | 2016-10-11 |
| gpml-matlab-v4.1-2017-10-19\cov\covSEproj.m | 674 | 2016-10-11 |
| gpml-matlab-v4.1-2017-10-19\cov\covSEvlen.m | 1229 | 2016-10-11 |
| gpml-matlab-v4.1-2017-10-19\cov\covSM.m | 6966 | 2016-08-25 |
| gpml-matlab-v4.1-2017-10-19\cov\covSum.m | 2619 | 2016-08-25 |
| gpml-matlab-v4.1-2017-10-19\cov\covULL.m | 2120 | 2017-11-26 |
| gpml-matlab-v4.1-2017-10-19\cov\covW.m | 4131 | 2017-11-28 |
| gpml-matlab-v4.1-2017-10-19\cov\covWarp.m | 1988 | 2017-11-28 |
| gpml-matlab-v4.1-2017-10-19\cov\covZero.m | 1116 | 2016-08-25 |
| gpml-matlab-v4.1-2017-10-19\covFunctions.m | 7962 | 2017-11-28 |
| gpml-matlab-v4.1-2017-10-19\doc\changelog | 257 | 2017-11-26 |
| gpml-matlab-v4.1-2017-10-19\doc\checkmark.png | 198 | 2010-07-23 |
| gpml-matlab-v4.1-2017-10-19\doc\demoClassification.m | 4640 | 2017-11-27 |
| gpml-matlab-v4.1-2017-10-19\doc\demoGrid1d.m | 2642 | 2016-10-11 |
| gpml-matlab-v4.1-2017-10-19\doc\demoGrid2d.m | 4217 | 2016-10-11 |
| gpml-matlab-v4.1-2017-10-19\doc\demoMinimize.m | 910 | 2016-10-11 |
| gpml-matlab-v4.1-2017-10-19\doc\demoRegression.m | 5188 | 2017-11-27 |
| gpml-matlab-v4.1-2017-10-19\doc\demoSparse.m | 3275 | 2016-10-18 |
| gpml-matlab-v4.1-2017-10-19\doc\f0.gif | 26996 | 2016-10-19 |
| gpml-matlab-v4.1-2017-10-19\doc\f1.gif | 4990 | 2013-01-17 |
| gpml-matlab-v4.1-2017-10-19\doc\f2.gif | 15082 | 2013-01-17 |
| gpml-matlab-v4.1-2017-10-19\doc\f3.gif | 13866 | 2013-01-17 |
| gpml-matlab-v4.1-2017-10-19\doc\f4.gif | 13141 | 2013-01-17 |
| gpml-matlab-v4.1-2017-10-19\doc\f5.gif | 19258 | 2013-01-17 |
| gpml-matlab-v4.1-2017-10-19\doc\f6.gif | 28470 | 2013-01-17 |
| gpml-matlab-v4.1-2017-10-19\doc\f7.gif | 31055 | 2013-01-17 |
| gpml-matlab-v4.1-2017-10-19\doc\f8.gif | 14698 | 2013-01-17 |
| gpml-matlab-v4.1-2017-10-19\doc\f9.png | 159343 | 2016-10-28 |
| gpml-matlab-v4.1-2017-10-19\doc\gpml_randn.m | 1109 | 2010-07-23 |
| gpml-matlab-v4.1-2017-10-19\doc\index.html | 64203 | 2017-11-27 |
| gpml-matlab-v4.1-2017-10-19\doc\manual.pdf | 519849 | 2017-11-28 |
| gpml-matlab-v4.1-2017-10-19\doc\README | 20645 | 2017-11-26 |
| gpml-matlab-v4.1-2017-10-19\doc\style.css | 77 | 2010-07-23 |
| gpml-matlab-v4.1-2017-10-19\doc\usageClassification.m | 2660 | 2013-10-16 |
| gpml-matlab-v4.1-2017-10-19\doc\usageCov.m | 3570 | 2017-11-28 |
| gpml-matlab-v4.1-2017-10-19\doc\usageLik.m | 2530 | 2017-11-28 |
| gpml-matlab-v4.1-2017-10-19\doc\usageMean.m | 2264 | 2017-11-28 |
| gpml-matlab-v4.1-2017-10-19\doc\usagePrior.m | 3472 | 2017-11-28 |
| gpml-matlab-v4.1-2017-10-19\doc\usageRegression.m | 2744 | 2016-10-11 |
| gpml-matlab-v4.1-2017-10-19\doc\usageSampling.m | 2636 | 2013-01-17 |
| gpml-matlab-v4.1-2017-10-19\gp.m | 10560 | 2017-11-28 |
| gpml-matlab-v4.1-2017-10-19\inf\infEP.m | 17828 | 2017-11-26 |
| gpml-matlab-v4.1-2017-10-19\inf\infGaussLik.m | 1839 | 2017-11-28 |
| gpml-matlab-v4.1-2017-10-19\inf\infGrid.m | 9908 | 2016-10-18 |
| gpml-matlab-v4.1-2017-10-19\inf\infKL.m | 5854 | 2017-11-26 |
| gpml-matlab-v4.1-2017-10-19\inf\infLaplace.m | 5464 | 2017-11-26 |
| gpml-matlab-v4.1-2017-10-19\inf\infLOO.m | 4085 | 2016-08-25 |
| gpml-matlab-v4.1-2017-10-19\inf\infMCMC.m | 11425 | 2016-08-25 |
| gpml-matlab-v4.1-2017-10-19\inf\infPrior.m | 6113 | 2017-11-26 |
| gpml-matlab-v4.1-2017-10-19\inf\infVB.m | 5978 | 2017-11-26 |
| gpml-matlab-v4.1-2017-10-19\infMethods.m | 2660 | 2017-11-28 |
| gpml-matlab-v4.1-2017-10-19\lik\likBeta.m | 4829 | 2016-10-11 |
| gpml-matlab-v4.1-2017-10-19\lik\likErf.m | 2975 | 2015-07-06 |