- Category:
- matlab
- Tags:
-
[Matlab]
[源码]
- File Size:
- 500kb
- Update:
- 2012-11-26
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Description: GPML Matlab Code
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. It does not currently contain inference methods for sparse approximations. Other GP packages can be found here.
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GPML Matlab Code
................\Documentation for GPML Matlab Code.mht
................\cov
................\...\Index of cov-.mht
................\...\covADD.m
................\...\covConst.m
................\...\covFITC.m
................\...\covFunctions.m
................\...\covLIN.m
................\...\covLINard.m
................\...\covLINone.m
................\...\covMask.m
................\...\covMaterniso.m
................\...\covNNone.m
................\...\covNoise.m
................\...\covPPiso.m
................\...\covPeriodic.m
................\...\covPoly.m
................\...\covProd.m
................\...\covRQard.m
................\...\covRQiso.m
................\...\covSEard.m
................\...\covSEiso.m
................\...\covSEisoU.m
................\...\covScale.m
................\...\covSum.m
................\demoClassification.m
................\demoRegression.m
................\inf
................\...\infEP.m
................\...\infExact.m
................\...\infFITC.m
................\...\infLOO.m
................\...\infLaplace.m
................\...\infMethods.m
................\...\infVB.m
................\...\usageClassification.m
................\...\usageRegression.m
................\lik
................\...\likErf.m
................\...\likFunctions.m
................\...\likGauss.m
................\...\likLaplace.m
................\...\likLogistic.m
................\...\likSech2.m
................\...\likT.m
................\manual.pdf
................\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
................\usageCov.m
................\usageMean.m
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