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/199440/7853108
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/196844/8054890
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/196844/8054906
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/140851/13059467
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/138798/13212527
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/150133/12310051
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/150133/12310076
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/361765/10036823
rd mcmcmnl.rd
\name{MCMCmnl}
\alias{MCMCmnl}
\title{Markov Chain Monte Carlo for Multinomial Logistic Regression}
\description{
This function generates a sample from the posterior distribution of
a multinomial
www.eeworm.com/read/408292/11398219
m equiv_classes_hmm.m
function [equiv_class,param_equiv_class,link]=equiv_classes_hmm(onames,B,D)
%equiv_class: vector. (ordered) nodes having the same CPT have same value
%param_equiv_class: vector. (ordered) nodes
www.eeworm.com/read/427909/8912909
m multipdf.m
function p = multipdf(x,theta)
%MULTIPDF Multinomial probability density function.
% p = multipdf(x,theta) returns the probabilities of
% vector x, under the multinomial distribution
% with par