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/360995/10069876
m mog_update.m
function w = mog_update(w,x,maxiter)
%MOG_UPDATE Train a MoG
%
% W = MOG_UPDATE(W,X,MAXITER)
%
% Fit a Mixture of Gaussians model W to data X, for MAXITER number of EM
% steps.
%
% See also: mog_d
www.eeworm.com/read/451547/7461892
m mog_update.m
function w = mog_update(w,x,maxiter)
%MOG_UPDATE Train a MoG
%
% W = MOG_UPDATE(W,X,MAXITER)
%
% Fit a Mixture of Gaussians model W to data X, for MAXITER number of EM
% steps.
%
% See also: mog_d
www.eeworm.com/read/303904/7783102
m em_gm.m
function [W,M,V,L] = EM_GM(X,k,ltol,maxiter,pflag,Init)
% [W,M,V,L] = EM_GM(X,k,ltol,maxiter,pflag,Init)
%
% EM algorithm for k multidimensional Gaussian mixture estimation
%
% Inputs:
% X(n
www.eeworm.com/read/140847/5779192
m mhmm1.m
% Make an HMM with mixture of Gaussian observations
% Q1 ---> Q2
% / | / |
% M1 | M2 |
% \ v \ v
% Y1 Y2
% where Pr(m=j|q=i) is a multinomial and Pr(y|m,q) is a Gaussian
www.eeworm.com/read/133943/5897376
m mhmm1.m
% Make an HMM with mixture of Gaussian observations
% Q1 ---> Q2
% / | / |
% M1 | M2 |
% \ v \ v
% Y1 Y2
% where Pr(m=j|q=i) is a multinomial and Pr(y|m,q) is a Gaussian
www.eeworm.com/read/418431/6334678
m em_gm.m
function [W,M,V,L] = EM_GM(X,k,ltol,maxiter,pflag,Init)
% [W,M,V,L] = EM_GM(X,k,ltol,maxiter,pflag,Init)
%
% EM algorithm for k multidimensional Gaussian mixture estimation
%
% Inputs:
% X(n
www.eeworm.com/read/493294/6399905
m mog_update.m
function w = mog_update(w,x,maxiter)
%MOG_UPDATE Train a MoG
%
% W = MOG_UPDATE(W,X,MAXITER)
%
% Fit a Mixture of Gaussians model W to data X, for MAXITER number of EM
% steps.
%
% See also: mog_d
www.eeworm.com/read/492400/6422211
m mog_update.m
function w = mog_update(w,x,maxiter)
%MOG_UPDATE Train a MoG
%
% W = MOG_UPDATE(W,X,MAXITER)
%
% Fit a Mixture of Gaussians model W to data X, for MAXITER number of EM
% steps.
%
% See also: mog_d
www.eeworm.com/read/483011/6607245
m em_gm.m
function [W,M,V,L] = EM_GM(X,k,ltol,maxiter,pflag,Init)
% [W,M,V,L] = EM_GM(X,k,ltol,maxiter,pflag,Init)
%
% EM algorithm for k multidimensional Gaussian mixture estimation
%
% Inputs:
% X(n
www.eeworm.com/read/400576/11573465
m mog_update.m
function w = mog_update(w,x,maxiter)
%MOG_UPDATE Train a MoG
%
% W = MOG_UPDATE(W,X,MAXITER)
%
% Fit a Mixture of Gaussians model W to data X, for MAXITER number of EM
% steps.
%
% See also: mog_d