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% gpml: code from Rasmussen & Williams: Gaussian Processes for Machine Learning % date: 2007-07-25. % % approxEP.m - the approximation method for Expectation Propagation % approxLA.m - the approximation method for Laplace's approximation % approximations.m - help for approximation methods % binaryEPGP.m - outdated, the EP approx for binary GP classification % binaryGP.m - binary Gaussian process classification % binaryLaplaceGP.m - outdated, Laplace's approx for binary GP classification % % covConst.m - covariance for constant functions % covFunctions.m - help file with overview of covariance functions % covLINard.m - linear covariance function with ard % covLINone.m - linear covaraince function % covMatern3iso.m - Matern covariance function with nu=3/2 % covMatern5iso.m - Matern covaraince function with nu=5/2 % covNNone.m - neural network covariance function % covNoise.m - independent covaraince function (ie white noise) % covPeriodic.m - covariance for smooth periodic function, with unit period % covProd.m - function for multiplying other covariance functions % covRQard.m - rational quadratic covariance function with ard % covRQiso.m - isotropic rational quadratic covariance function % covSEard.m - squared exponential covariance function with ard % covSEiso.m - isotropic squared exponential covariance function % covSum.m - function for adding other covariance functions % % cumGauss.m - cumulative Gaussian likelihood function % gpr.m - Gaussian process regression with general covariance % function % gprSRPP.m - Implements SR and PP approximations to GPR % likelihoods.m - help function for classification likelihoods % logistic.m - logistic likelihood function % minimize.m - Minimize a differentiable multivariate function % solve_chol.c - Solve linear equations from the Cholesky factorization % should be compiled into a mex file % solve_chol.m - A matlab implementation of the above, used only in case % the mex file wasn't generated (not very efficient) % sq_dist.c - Compute a matrix of all pairwise squared distances % should be compiled into a mex file % sq_dist.m - A matlab implementation of the above, used only in case % the mex file wasn't generated (not very efficient) % % See also the help for the demonstration scripts in the gpml-demo directory % % Copyright (c) 2005, 2006 by Carl Edward Rasmussen and Chris Williams