Title:
gpml-matlab-v3.1-2010-09-27
Download
Description: Gaussian process regression and classification algorithm in the application. And the book " machine learning based on Gaussian process" support. This program is the latest v3.1 version, updated on 2010-09-27
- [MAT_SORCOD] - Gaussian process with the application of
- [GaussEm] - on Gaussian mixture model (GMM) Matlab s
- [gaosi] - Multivariate Gaussian process for select
- [Random] - A complete multi-random process Oscillog
- [Multi_gp] - MULTI_GP generates a multivariate Gaussi
- [EMgaussian] - EM algorithm for getting the parameters
- [Gaussian-Process-Classification.tar] - Gaussian process in the Classification.
- [feedbackkf] - The zip file contains a Simulink model,
File list (Check if you may need any files):
gpml-matlab-v3.1-2010-09-27
...........................\.octaverc
...........................\Copyright
...........................\cov
...........................\...\covADD.m
...........................\...\covConst.m
...........................\...\covFITC.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
...........................\covFunctions.m
...........................\doc
...........................\...\changelog
...........................\...\checkmark.png
...........................\...\demoClassification.m
...........................\...\demoRegression.m
...........................\...\f0.gif
...........................\...\f1.gif
...........................\...\f2.gif
...........................\...\f3.gif
...........................\...\f4.gif
...........................\...\f5.gif
...........................\...\f6.gif
...........................\...\gpml_randn.m
...........................\...\index.html
...........................\...\manual.pdf
...........................\...\README
...........................\...\style.css
...........................\...\usageClassification.m
...........................\...\usageCov.m
...........................\...\usageMean.m
...........................\...\usageRegression.m
...........................\gp.m
...........................\inf
...........................\...\infEP.m
...........................\...\infExact.m
...........................\...\infFITC.m
...........................\...\infLaplace.m
...........................\...\infLOO.m
...........................\...\infVB.m
...........................\infMethods.m
...........................\lik
...........................\...\likErf.m
...........................\...\likGauss.m
...........................\...\likLaplace.m
...........................\...\likLogistic.m
...........................\...\likSech2.m
...........................\...\likT.m
...........................\likFunctions.m
...........................\mean
...........................\....\meanConst.m
...........................\....\meanLinear.m
...........................\....\meanMask.m
...........................\....\meanOne.m
...........................\....\meanPow.m
...........................\....\meanProd.m
...........................\....\meanScale.m
...........................\....\meanSum.m
...........................\....\meanZero.m
...........................\meanFunctions.m
...........................\README
...........................\startup.m
...........................\util
...........................\....\binaryEPGP.m
...........................\....\binaryGP.m
...........................\....\binaryLaplaceGP.m
...........................\....\brentmin.m
...........................\....\elsympol.m
...........................\....\gpr.m
...........................\....\lbfgsb
...........................\....\......\array.h
...........................\....\......\arrayofmatrices.cpp
...........................\....\......\arrayofmatrices.h
...........................\....\......\lbfgsb.cpp
...........................\....\......\license.txt
...........................\....\......\Makefile
...........................\....\......\matlabexception.cpp
...........................\....\......\matlabexception.h
...........................\....\......\matlabmatrix.cpp
...........................\....\......\matlab
