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文件名称:gpml-matlab-v3.6-2015-07-07

  • 所属分类：
    matlab
  • 标签属性：
    [Matlab] [源码]
  • 上传时间：
    2016-03-25
  • 文件大小：
    976kb
  • 已下载：
    2次
  • 提 供 者：
    李**
  • 相关连接：
    无
  • 下载说明：
    别用迅雷下载，失败请重下，重下不扣分！
修正介绍说明

介绍说明－－下载内容来自于网络，使用问题请自行百度

这是一个高斯过程回归和分类工具箱，功能非常齐全，可以为解决高斯过程相关的问题提供很多帮助- GAUSSIAN PROCESS REGRESSION AND CLASSIFICATION Toolbox version 3.6

　　for GNU Octave 3.2.x and Matlab 7.x



Copyright (c) by Carl Edward Rasmussen and Hannes Nickisch, 2015-07-07.







0) HOW TO READ

==============



If you want to get started without further delay, then read section 1) below

and jump right to the examples in doc/index.html.







1) ABOUT THESE PROGRAMS

=======================



This collection of matlab programs implements and demonstrates some of the

algorithms described in

a) the book by Rasmussen and Williams:　Gaussian Processes for Machine Learning ,

　 the MIT Press 2006, in

b) the article by Nickisch and Rasmussen:　Approximations for Binary Gaussian

　 Process Classification , JMLR 2008, in

c) the article by Candela and Rasmussen:　A Unifying View of Sparse Approximate

　 Gaussian Process Regression , JMLR 2005, in

d) the paper by Murray, Adams and Mackay:　Elliptical slice sampling ,

　 AISTATS 2010, in

e) the report by Neal:　Anneale
(系统自动生成,下载前可以参看下载内容)

下载文件列表

gpml-matlab-v3.6-2015-07-07/.octaverc
gpml-matlab-v3.6-2015-07-07/Copyright
gpml-matlab-v3.6-2015-07-07/cov/
gpml-matlab-v3.6-2015-07-07/cov/covADD.m
gpml-matlab-v3.6-2015-07-07/cov/covConst.m
gpml-matlab-v3.6-2015-07-07/cov/covCos.m
gpml-matlab-v3.6-2015-07-07/cov/covDiscrete.m
gpml-matlab-v3.6-2015-07-07/cov/covEye.m
gpml-matlab-v3.6-2015-07-07/cov/covFITC.m
gpml-matlab-v3.6-2015-07-07/cov/covGaborard.m
gpml-matlab-v3.6-2015-07-07/cov/covGaboriso.m
gpml-matlab-v3.6-2015-07-07/cov/covGrid.m
gpml-matlab-v3.6-2015-07-07/cov/covLIN.m
gpml-matlab-v3.6-2015-07-07/cov/covLINard.m
gpml-matlab-v3.6-2015-07-07/cov/covLINiso.m
gpml-matlab-v3.6-2015-07-07/cov/covLINone.m
gpml-matlab-v3.6-2015-07-07/cov/covMask.m
gpml-matlab-v3.6-2015-07-07/cov/covMaternard.m
gpml-matlab-v3.6-2015-07-07/cov/covMaterniso.m
gpml-matlab-v3.6-2015-07-07/cov/covNNone.m
gpml-matlab-v3.6-2015-07-07/cov/covNoise.m
gpml-matlab-v3.6-2015-07-07/cov/covPERard.m
gpml-matlab-v3.6-2015-07-07/cov/covPeriodic.m
gpml-matlab-v3.6-2015-07-07/cov/covPeriodicNoDC.m
gpml-matlab-v3.6-2015-07-07/cov/covPERiso.m
gpml-matlab-v3.6-2015-07-07/cov/covPoly.m
gpml-matlab-v3.6-2015-07-07/cov/covPPard.m
gpml-matlab-v3.6-2015-07-07/cov/covPPiso.m
gpml-matlab-v3.6-2015-07-07/cov/covPref.m
gpml-matlab-v3.6-2015-07-07/cov/covProd.m
gpml-matlab-v3.6-2015-07-07/cov/covRQard.m
gpml-matlab-v3.6-2015-07-07/cov/covRQiso.m
gpml-matlab-v3.6-2015-07-07/cov/covScale.m
gpml-matlab-v3.6-2015-07-07/cov/covSEard.m
gpml-matlab-v3.6-2015-07-07/cov/covSEfact.m
gpml-matlab-v3.6-2015-07-07/cov/covSEiso.m
gpml-matlab-v3.6-2015-07-07/cov/covSEisoU.m
gpml-matlab-v3.6-2015-07-07/cov/covSEvlen.m
gpml-matlab-v3.6-2015-07-07/cov/covSM.m
gpml-matlab-v3.6-2015-07-07/cov/covSum.m
gpml-matlab-v3.6-2015-07-07/covFunctions.m
gpml-matlab-v3.6-2015-07-07/doc/
gpml-matlab-v3.6-2015-07-07/doc/changelog
gpml-matlab-v3.6-2015-07-07/doc/checkmark.png
gpml-matlab-v3.6-2015-07-07/doc/demoClassification.m
gpml-matlab-v3.6-2015-07-07/doc/demoGrid.m
gpml-matlab-v3.6-2015-07-07/doc/demoRegression.m
gpml-matlab-v3.6-2015-07-07/doc/f1.gif
gpml-matlab-v3.6-2015-07-07/doc/f2.gif
gpml-matlab-v3.6-2015-07-07/doc/f3.gif
gpml-matlab-v3.6-2015-07-07/doc/f4.gif
gpml-matlab-v3.6-2015-07-07/doc/f5.gif
gpml-matlab-v3.6-2015-07-07/doc/f6.gif
gpml-matlab-v3.6-2015-07-07/doc/f7.gif
gpml-matlab-v3.6-2015-07-07/doc/f8.gif
gpml-matlab-v3.6-2015-07-07/doc/f9.png
gpml-matlab-v3.6-2015-07-07/doc/gpml_randn.m
gpml-matlab-v3.6-2015-07-07/doc/index.html
gpml-matlab-v3.6-2015-07-07/doc/manual.pdf
gpml-matlab-v3.6-2015-07-07/doc/README
gpml-matlab-v3.6-2015-07-07/doc/style.css
gpml-matlab-v3.6-2015-07-07/doc/usageClassification.m
gpml-matlab-v3.6-2015-07-07/doc/usageCov.m
gpml-matlab-v3.6-2015-07-07/doc/usageLik.m
gpml-matlab-v3.6-2015-07-07/doc/usageMean.m
gpml-matlab-v3.6-2015-07-07/doc/usagePrior.m
gpml-matlab-v3.6-2015-07-07/doc/usageRegression.m
gpml-matlab-v3.6-2015-07-07/doc/usageSampling.m
gpml-matlab-v3.6-2015-07-07/gp.m
gpml-matlab-v3.6-2015-07-07/inf/
gpml-matlab-v3.6-2015-07-07/inf/infEP.m
gpml-matlab-v3.6-2015-07-07/inf/infExact.m
gpml-matlab-v3.6-2015-07-07/inf/infFITC.m
gpml-matlab-v3.6-2015-07-07/inf/infFITC_EP.m
gpml-matlab-v3.6-2015-07-07/inf/infFITC_Laplace.m
gpml-matlab-v3.6-2015-07-07/inf/infGrid.m
gpml-matlab-v3.6-2015-07-07/inf/infGrid_Laplace.m
gpml-matlab-v3.6-2015-07-07/inf/infKL.m
gpml-matlab-v3.6-2015-07-07/inf/infLaplace.m
gpml-matlab-v3.6-2015-07-07/inf/infLOO.m
gpml-matlab-v3.6-2015-07-07/inf/infMCMC.m
gpml-matlab-v3.6-2015-07-07/inf/infPrior.m
gpml-matlab-v3.6-2015-07-07/inf/infVB.m
gpml-matlab-v3.6-2015-07-07/infMethods.m
gpml-matlab-v3.6-2015-07-07/lik/
gpml-matlab-v3.6-2015-07-07/lik/likBeta.m
gpml-matlab-v3.6-2015-07-07/lik/likErf.m
gpml-matlab-v3.6-2015-07-07/lik/likExp.m
gpml-matlab-v3.6-2015-07-07/lik/likGamma.m
gpml-matlab-v3.6-2015-07-07/lik/likGauss.m
gpml-matlab-v3.6-2015-07-07/lik/likGaussWarp.m
gpml-matlab-v3.6-2015-07-07/lik/likGumbel.m
gpml-matlab-v3.6-2015-07-07/lik/likInvGauss.m
gpml-matlab-v3.6-2015-07-07/lik/likLaplace.m
gpml-matlab-v3.6-2015-07-07/lik/likLogistic.m
gpml-matlab-v3.6-2015-07-07/lik/likMix.m
gpml-matlab-v3.6-2015-07-07/lik/likNegBinom.m
gpml-matlab-v3.6-2015-07-07/lik/likPoisson.m
gpml-matlab-v3.6-2015-07-07/lik/likSech2.m
gpml-matlab-v3.6-2015-07-07/lik/likT.m
gpml-matlab-v3.6-2015-07-07/lik/likUni.m
gpml-matlab-v3.6-2015-07-07/lik/likWeibull.m
gpml-matlab-v3.6-2015-07-07/likFunctions.m
gpml-matlab-v3.6-2015-07-07/mean/
gpml-matlab-v3.6-2015-07-07/mean/meanConst.m
gpml-matlab-v3.6-2015-07-07/mean/meanDiscrete.m
gpml-matlab-v3.6-2015-07-07/mean/meanGP.m
gpml-matlab-v3.6-2015-07-07/mean/meanGPexact.m
gpml-matlab-v3.6-2015-07-07/mean/meanLinear.m
gpml-matlab-v3.6-2015-07-07/mean/meanMask.m
gpml-matlab-v3.6-2015-07-07/mean/meanNN.m
gpml-matlab-v3.6-2015-07-07/mean/meanOne.m
gpml-matlab-v3.6-2015-07-07/mean/meanPoly.m
gpml-matlab-v3.6-2015-07-07/mean/meanPow.m
gpml-matlab-v3.6-2015-07-07/mean/meanPref.m
gpml-matlab-v3.6-2015-07-07/mean/meanProd.m
gpml-matlab-v3.6-2015-07-07/mean/meanScale.m
gpml-matlab-v3.6-2015-07-07/mean/meanSum.m
gpml-matlab-v3.6-2015-07-07/mean/meanZero.m
gpml-matlab-v3.6-2015-0

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