文件名称:GPR based on GPML-V4.1

  • 所属分类:
  • matlab例程
  • 资源属性:
  • 上传时间:
  • 2018-06-08
  • 文件大小:
  • 1.4mb
  • 下载次数:
  • 1次
  • 提 供 者:
  • Gal****
  • 相关连接:
  • 下载说明:
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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.)
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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
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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
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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
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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

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