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GPML-Matlab-Code
  • Classification:Communications / Mobile - GPS develop
  • Development Tool:matlab
  • Sise:500 KB
  • Upload time:2013/1/24 2:46:02
  • Uploader:uttam
  • Download Statistics:
Description
GPML Matlab CodeThe 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. It does not currently contain inference methods for sparse approximations. Other GP packages can be found here.




File list:
GPML Matlab Code
...............\cov
...............\...\covADD.m
...............\...\covConst.m
...............\...\covFITC.m
...............\...\covFunctions.m
...............\...\covLIN.m
...............\...\covLINard.m
...............\...\covLINone.m
...............\...\covMask.m
...............\...\covMaterniso.m
...............\...\covNNone.m
...............\...\covNoise.m
...............\...\covPeriodic.m
...............\...\covPoly.m
...............\...\covPPiso.m
...............\...\covProd.m
...............\...\covRQard.m
...............\...\covRQiso.m
...............\...\covScale.m
...............\...\covSEard.m
...............\...\covSEiso.m
...............\...\covSEisoU.m
...............\...\covSum.m
...............\...\Index of cov-.mht
...............\inf
...............\...\infEP.m
...............\...\infExact.m
...............\...\infFITC.m
...............\...\infLaplace.m
...............\...\infLOO.m
...............\...\infMethods.m
...............\...\infVB.m
...............\...\usageClassification.m
...............\...\usageRegression.m
...............\lik
...............\...\likErf.m
...............\...\likFunctions.m
...............\...\likGauss.m
...............\...\likLaplace.m
...............\...\likLogistic.m
...............\...\likSech2.m
...............\...\likT.m
...............\mean
...............\....\Index of mean-.mht
...............\....\meanConst.m
...............\....\meanFunctions.m
...............\....\meanLinear.m
...............\....\meanMask.m
...............\....\meanOne.m
...............\....\meanPow.m
...............\....\meanProd.m
...............\....\meanScale.m
...............\....\meanSum.m
...............\....\meanZero.m
...............\demoClassification.m
...............\demoRegression.m
...............\Documentation for GPML Matlab Code.mht
...............\manual.pdf
...............\usageCov.m
...............\usageMean.m
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