代码搜索：Multinomial
找到约 224 项符合「Multinomial」的源代码
代码结果 224
www.eeworm.com/read/349646/10809138
m multirnd.m
function r = multirnd(theta,k)
%MULTIRND - Random vector from multinomial distribution.
% r = multirnd(theta,k) returns a vector randomly selected
% from the multinomial distribution with paramete
www.eeworm.com/read/469416/6976112
m multirnd.m
function r = multirnd(theta,k)
%MULTIRND - Random vector from multinomial distribution.
% r = multirnd(theta,k) returns a vector randomly selected
% from the multinomial distribution with paramete
www.eeworm.com/read/140851/13058425
m multirnd.m
function r = multirnd(theta,k)
%MULTIRND - Random vector from multinomial distribution.
% r = multirnd(theta,k) returns a vector randomly selected
% from the multinomial distribution with paramete
www.eeworm.com/read/138798/13211446
m multirnd.m
function r = multirnd(theta,k)
%MULTIRND - Random vector from multinomial distribution.
% r = multirnd(theta,k) returns a vector randomly selected
% from the multinomial distribution with paramete
www.eeworm.com/read/158037/11648234
m multirnd.m
function r = multirnd(theta,k)
%MULTIRND - Random vector from multinomial distribution.
% r = multirnd(theta,k) returns a vector randomly selected
% from the multinomial distribution with paramete
www.eeworm.com/read/147186/12578665
m multirnd.m
function r = multirnd(theta,k)
%MULTIRND - Random vector from multinomial distribution.
% r = multirnd(theta,k) returns a vector randomly selected
% from the multinomial distribution with paramete
www.eeworm.com/read/408292/11398128
m deriv_multinom_logist.m
function d=deriv_multinom_logist(x)
%computes derivative of multinomial logistic function in x
%see Bischop C p.217
%x is row cvector or matrix and does not contain column of zeros!!
s=size(x);
www.eeworm.com/read/425546/10349285
m dhmm_sample.m
function [obs, hidden] = dhmm_sample(initial_prob, transmat, obsmat, numex, len)
% SAMPLE_DHMM Generate random sequences from a Hidden Markov Model with discrete outputs.
%
% [obs, hidden] = sample_dh
www.eeworm.com/read/416298/11034291
m dhmm_sample.m
function [obs, hidden] = dhmm_sample(initial_prob, transmat, obsmat, numex, len)
% SAMPLE_DHMM Generate random sequences from a Hidden Markov Model with discrete outputs.
%
% [obs, hidden] = sample_dh
www.eeworm.com/read/469416/6976539
m dhmm_sample.m
function [obs, hidden] = dhmm_sample(initial_prob, transmat, obsmat, numex, len)
% SAMPLE_DHMM Generate random sequences from a Hidden Markov Model with discrete outputs.
%
% [obs, hidden] = sample_dh