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/253950/12174127
htm mdngrad.htm
Netlab Reference Manual mdngrad
mdngrad
Purpose
Evaluate gradient of error function for Mixture Density Network.
Synopsis
www.eeworm.com/read/150905/12250301
htm mdngrad.htm
Netlab Reference Manual mdngrad
mdngrad
Purpose
Evaluate gradient of error function for Mixture Density Network.
Synopsis
www.eeworm.com/read/213240/15139954
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/251838/4414587
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/215485/4903549
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/197905/5090995
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/346158/3189581
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/320347/3548421
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/292984/3935821
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/292964/3936969
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