文件名称:gpml-matlab-v4.1-2017-10-19
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- 上传时间:2018-01-21
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文件大小:1.26mb
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已下载:1次
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MATLAB code. It was originally demonstrated the main algorithms from Rasmussen and Williams: Gaussian Processes for Machine Learning.(The code provided here originally demonstrated the main algorithms from Rasmussen and Williams: Gaussian Processes for Machine Learning. It has since grown to allow more likelihood functions, further inference methods and a flexible framework for specifying GPs.)
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下载文件列表
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gpml-matlab-v4.1-2017-10-19 | 0 | 2017-11-28 |
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 | 0 | 2017-11-28 |
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 |
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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 |
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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 |
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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 |
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gpml-matlab-v4.1-2017-10-19\cov\covSE.m | 1056 | 2017-11-26 |
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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 | 0 | 2017-11-28 |
gpml-matlab-v4.1-2017-10-19\doc\changelog | 257 | 2017-11-26 |
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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\f4.gif | 13141 | 2013-01-17 |
gpml-matlab-v4.1-2017-10-19\doc\f5.gif | 19258 | 2013-01-17 |
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gpml-matlab-v4.1-2017-10-19\doc\gpml_randn.m | 1109 | 2010-07-23 |
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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 |
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