代码搜索：MIXTURE
找到约 1,805 项符合「MIXTURE」的源代码
代码结果 1,805
www.eeworm.com/read/227960/14405272
m gtm_bi.m
function beta = gtm_bi(Y)
% Calculate an initial value for beta.
%
% The value is calculated from the average distance between
% the nearest neighbours in Y, the centres of the constrained
%
www.eeworm.com/read/220289/14843727
m demgmm1.m
%DEMGMM1 Demonstrate EM for Gaussian mixtures.
%
% Description
% This script demonstrates the use of the EM algorithm to fit a mixture
% of Gaussians to a set of data using maximum likelihood. A colou
www.eeworm.com/read/220289/14843759
m demhmc1.m
%DEMHMC1 Demonstrate Hybrid Monte Carlo sampling on mixture of two Gaussians.
%
% Description
% The problem consists of generating data from a mixture of two
% Gaussians in two dimensions using a hybr
www.eeworm.com/read/220289/14843766
m demgmm5.m
%DEMGMM5 Demonstrate density modelling with a PPCA mixture model.
%
% Description
% The problem consists of modelling data generated by a mixture of
% three Gaussians in 2 dimensions with a mixture m
www.eeworm.com/read/220289/14843787
m contents.m
% Netlab Toolbox
% Version 3.2.1 31-Oct-2001
%
% conffig - Display a confusion matrix.
% confmat - Compute a confusion matrix.
% conjgrad - Conjugate gradients optimization.
% consist - Ch
www.eeworm.com/read/220289/14843818
m demgmm2.m
%DEMGMM1 Demonstrate density modelling with a Gaussian mixture model.
%
% Description
% The problem consists of modelling data generated by a mixture of
% three Gaussians in 2 dimensions. The priors
www.eeworm.com/read/220289/14843896
m mdnerr.m
function e = mdnerr(net, x, t)
%MDNERR Evaluate error function for Mixture Density Network.
%
% Description
% E = MDNERR(NET, X, T) takes a mixture density network data structure
% NET, a matrix X of
www.eeworm.com/read/212307/15160034
m demgmm1.m
%DEMGMM1 Demonstrate EM for Gaussian mixtures.
%
% Description
% This script demonstrates the use of the EM algorithm to fit a mixture
% of Gaussians to a set of data using maximum likelihood. A colou
www.eeworm.com/read/212307/15160066
m demhmc1.m
%DEMHMC1 Demonstrate Hybrid Monte Carlo sampling on mixture of two Gaussians.
%
% Description
% The problem consists of generating data from a mixture of two
% Gaussians in two dimensions using a hybr
www.eeworm.com/read/212307/15160073
m demgmm5.m
%DEMGMM5 Demonstrate density modelling with a PPCA mixture model.
%
% Description
% The problem consists of modelling data generated by a mixture of
% three Gaussians in 2 dimensions with a mixture m