代码搜索：MIXTURE
找到约 1,805 项符合「MIXTURE」的源代码
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www.eeworm.com/read/150905/12249855
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/150905/12249938
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/150905/12249965
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/150905/12250074
htm mdnfwd.htm
Netlab Reference Manual mdnfwd
mdnfwd
Purpose
Forward propagation through Mixture Density Network.
Synopsis
mix
www.eeworm.com/read/150905/12250227
htm gmmunpak.htm
Netlab Reference Manual gmmunpak
gmmunpak
Purpose
Separates a vector of Gaussian mixture model parameters into its components.
www.eeworm.com/read/150905/12250414
m contents.m
% Netlab Toolbox
% Version 3.3.1 18-Jun-2004
%
% conffig - Display a confusion matrix.
% confmat - Compute a confusion matrix.
% conjgrad - Conjugate gradients optimization.
% consist - Ch
www.eeworm.com/read/150905/12250457
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/150905/12250650
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/336521/12439791
m randvec.m
function x=randvec(n,m,c,w,mode)
%RANDVEC Generate real or complex random vectors X=(N,M,C,W,MODE)
% generates a random matrix of size (|n|,p) where p is the maximum
% dimension of M or C
% Inpu
www.eeworm.com/read/228372/14388117
m randvec.m
function x=randvec(n,m,c,w,mode)
%RANDVEC Generate real or complex random vectors X=(N,M,C,W,MODE)
% generates a random matrix of size (|n|,p) where p is the maximum
% dimension of M or C
% Inpu