资源简介
很好用的高斯过程回归算法工具箱
代码片段和文件信息
% covariance functions to be use by Gaussian process functions. There are two
% different kinds of covariance functions: simple and composite:
%
% simple covariance functions:
% covConst - covariance for constant functions
% covCos - sine periodic covariance function (1d) with unit period
% covLIN - linear covariance function without parameters
% covLINard - linear covariance function with ARD
% covLINiso - linear covariance function
% covLINone - linear covariance function with bias
% covMaternard - Matern covariance function with nu=1/2 3/2 or 5/2 with ARD
% covMaterniso - Matern covariance function with nu=1/2 3/2 or 5/2
% covNNone - neural network covariance function
% covNoise - independent covariance function (i.e. white noise)
% covPeriodic - smooth periodic covariance function (1d)
% covPeriodicNoDC - as above but with zero DC component and properly scaled
% covPoly - polynomial covariance function
% covPPard - piecewise polynomial covariance function (compact support)
% covPPiso - piecewise polynomial covariance function (compact support)
% covRQard - rational quadratic covariance function with ARD
% covRQiso - isotropic rational quadratic covariance function
% covSEard - squared exponential covariance function with ARD
% covSEiso - isotropic squared exponential covariance function
% covSEisoU - same as above but without latent scale
% covSM - spectral mixture covariance function
% covGaborard - Gabor covariance function with ARD
% covGaborsio - isotropic Gabor covariance function
%
% composite (meta) covariance functions (see explanation at the bottom):
% covScale - scaled version of a covariance function
% covProd - products of covariance functions
% covSum - sums of covariance functions
% covADD - additive covariance function
% covMask - mask some dimensions of the data
% covPERard - make ARD stationary covariance periodic
% covPERiso - make isotropic stationary covariance periodic
%
% special purpose (wrapper) covariance functions
% covFITC - to be used in conjunction with infFITC for large scale
% regression problems; any covariance can be wrapped by
% covFITC such that the FITC approximation is applicable
%
% Naming convention: all covariance functions are named “cov/cov*.m“. A trailing
% “iso“ means isotropic “ard“ means Automatic Relevance Determination and
% “one“ means that the distance measure is parameterized by a single parameter.
%
% The covariance functions are written according to a special convention where
% the exact behaviour depends on the number of input and output arguments
% passed to the function. If you want to add new covariance functions you
% should follow this convention if you want them to work with the function gp.
% There are four different ways of calling the cov
属性 大小 日期 时间 名称
----------- --------- ---------- ----- ----
目录 0 2014-02-17 10:58 2006\
目录 0 2014-03-21 12:38 2006\gpml-matlab-v3.4-2013-11-11\
文件 8 2010-07-23 15:12 2006\gpml-matlab-v3.4-2013-11-11\.octaverc
文件 1838 2013-11-11 18:28 2006\gpml-matlab-v3.4-2013-11-11\Copyright
文件 14260 2014-01-07 05:40 2006\gpml-matlab-v3.4-2013-11-11\README
目录 0 2014-02-17 10:53 2006\gpml-matlab-v3.4-2013-11-11\cov\
文件 3664 2013-01-17 23:57 2006\gpml-matlab-v3.4-2013-11-11\cov\covADD.m
文件 1146 2010-09-24 23:37 2006\gpml-matlab-v3.4-2013-11-11\cov\covConst.m
文件 1468 2013-10-22 19:02 2006\gpml-matlab-v3.4-2013-11-11\cov\covCos.m
文件 1761 2013-10-21 18:59 2006\gpml-matlab-v3.4-2013-11-11\cov\covFITC.m
文件 5581 2014-02-10 12:08 2006\gpml-matlab-v3.4-2013-11-11\cov\covFunctions.m
文件 1533 2013-10-22 19:02 2006\gpml-matlab-v3.4-2013-11-11\cov\covGaborard.m
文件 1810 2013-10-22 19:02 2006\gpml-matlab-v3.4-2013-11-11\cov\covGaboriso.m
文件 1054 2010-09-24 23:37 2006\gpml-matlab-v3.4-2013-11-11\cov\covLIN.m
文件 1545 2010-09-24 23:37 2006\gpml-matlab-v3.4-2013-11-11\cov\covLINard.m
文件 1364 2013-10-16 21:44 2006\gpml-matlab-v3.4-2013-11-11\cov\covLINiso.m
文件 1353 2013-10-16 21:44 2006\gpml-matlab-v3.4-2013-11-11\cov\covLINone.m
文件 2139 2012-11-23 17:05 2006\gpml-matlab-v3.4-2013-11-11\cov\covMask.m
文件 2660 2013-10-16 21:44 2006\gpml-matlab-v3.4-2013-11-11\cov\covMaternard.m
文件 2037 2013-10-16 21:44 2006\gpml-matlab-v3.4-2013-11-11\cov\covMaterniso.m
文件 2062 2010-09-24 23:37 2006\gpml-matlab-v3.4-2013-11-11\cov\covNNone.m
文件 1745 2013-09-16 16:38 2006\gpml-matlab-v3.4-2013-11-11\cov\covNoise.m
文件 3588 2013-10-16 21:44 2006\gpml-matlab-v3.4-2013-11-11\cov\covPERard.m
文件 3145 2013-10-16 21:44 2006\gpml-matlab-v3.4-2013-11-11\cov\covPERiso.m
文件 3064 2013-10-16 21:44 2006\gpml-matlab-v3.4-2013-11-11\cov\covPPard.m
文件 2474 2013-10-16 21:44 2006\gpml-matlab-v3.4-2013-11-11\cov\covPPiso.m
文件 1668 2013-10-16 21:44 2006\gpml-matlab-v3.4-2013-11-11\cov\covPeriodic.m
文件 3630 2013-10-22 19:02 2006\gpml-matlab-v3.4-2013-11-11\cov\covPeriodicNoDC.m
文件 1487 2010-09-24 23:37 2006\gpml-matlab-v3.4-2013-11-11\cov\covPoly.m
文件 2215 2010-09-24 23:37 2006\gpml-matlab-v3.4-2013-11-11\cov\covProd.m
文件 2246 2013-10-16 21:44 2006\gpml-matlab-v3.4-2013-11-11\cov\covRQard.m
............此处省略128个文件信息
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