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/150905/12249859
m demgmm3.m
%DEMGMM3 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 with a mixtu
www.eeworm.com/read/150905/12250179
htm mdn.htm
Netlab Reference Manual mdn
mdn
Purpose
Creates a Mixture Density Network with specified architecture.
Synopsis
www.eeworm.com/read/150905/12250395
htm demgmm2.htm
Netlab Reference Manual demgmm1
demgmm1
Purpose
Demonstrate density modelling with a Gaussian mixture model.
Synopsis
www.eeworm.com/read/150905/12250605
m demgmm4.m
%DEMGMM4 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 with a mixtu
www.eeworm.com/read/336521/12439554
m gmmlpdf.m
function l=gmmlpdf(x,m,v,w)
%GMMPDF calculated the pdf of a mixture of gaussians p=(x,m,v,w)
%
% Inputs: n data values, k mixtures, p parameters
%
% X(n,p) Input data vectors, one per row.
www.eeworm.com/read/228372/14387981
m gmmlpdf.m
function l=gmmlpdf(x,m,v,w)
%GMMPDF calculated the pdf of a mixture of gaussians p=(x,m,v,w)
%
% Inputs: n data values, k mixtures, p parameters
%
% X(n,p) Input data vectors, one per row.
www.eeworm.com/read/124825/14536256
tex hrest.tex
%/* ----------------------------------------------------------- */
%/* */
%/* ___ */
www.eeworm.com/read/220289/14843729
m demgmm3.m
%DEMGMM3 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 with a mixtu
www.eeworm.com/read/220289/14843873
m demgmm4.m
%DEMGMM4 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 with a mixtu
www.eeworm.com/read/212307/15160036
m demgmm3.m
%DEMGMM3 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 with a mixtu