代码搜索：Bayesian
找到约 1,632 项符合「Bayesian」的源代码
代码结果 1,632
www.eeworm.com/read/396844/2407139
m stolcke_entropic_demo.m
% Do experiment on p54 of "Bayesian learning of probabilistic language models",
% A. Stolcke, PhD thesis, UC Berkeley, 1994
seed = 1;
rand('state', seed);
randn('state', seed);
hmm0 = mk_dhmm_stolck
www.eeworm.com/read/385191/2594667
svn-base learn_struct_tan.m.svn-base
function dag = learn_struct_tan(data, class_node, root, node_sizes, scoring_fn)
% LEARN_STRUCT_TAN Learn the structure of the tree augmented naive bayesian network
% (with discrete nodes)
% dag = lea
www.eeworm.com/read/385191/2594692
svn-base learn_struct_hc.m.svn-base
function [dag,best_score] = learn_struct_hc(data, nodesizes, seeddag, varargin)
%
% LEARN_STRUCT_HC(data,seeddag) learns a structure of Bayesian net by Hill Climbing.
% dag = learn_struct_hc(data,
www.eeworm.com/read/385191/2594693
svn-base learn_struct_gs.m.svn-base
function [dag,best_score] = learn_struct_gs(data, nodesizes, seeddag, varargin)
%
% LEARN_STRUCT_GS(data,seeddag) learns a structure of Bayesian net by Greedy Search.
% dag = learn_struct_gs(data,
www.eeworm.com/read/385191/2594698
svn-base learn_struct_tan.m.svn-base
function dag = learn_struct_tan(data, class_node, root, node_sizes, scoring_fn)
% LEARN_STRUCT_TAN Learn the structure of the tree augmented naive bayesian network
% (with discrete nodes)
% dag = lea
www.eeworm.com/read/385191/2594818
svn-base learn_struct_ges_new.m.svn-base
function [cpdag, best_score, cache] = learn_struct_ges_new(data, nodesizes, varargin)
%
% LEARN_STRUCT_GES learns a structure of Bayesian net by Greedy Equivalence Search.
% cpdag = learn_struct_ges(D
www.eeworm.com/read/355845/3047502
m perform_blsgsm_denoising.m
function y = perform_blsgsm_denoising(x, options)
% perform_blsgsm_denoising - denoise an image using BLS-GSM
%
% y = perform_blsgsm_denoising(x, options);
%
% BLS-GSM stands for "Bayesian Least Sq
www.eeworm.com/read/160391/5571372
m update_params_complete.m
function CPD = update_params_complete(CPD, self_ev, pev)
% UPDATE_PARAMS_COMPLETE Bayesian parameter updating given completely observed data (linear_gaussian)
% CPD = update_params_complete(CPD, sel
www.eeworm.com/read/284259/8952285
html sbgcop.package.html
R: Semiparametric Bayesian Gaussian copula estimation
www.eeworm.com/read/284259/8952299
html sbgcop.mcmc.html
R: Semiparametric Bayesian Gaussian copula estimation