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/292964/3936835
m model_select2.m
% Online Bayesian model selection demo.
% We generate data from the model A->B
% and compute the posterior prob of all 3 dags on 2 nodes:
% (1) A B, (2) A B
% Models 2 and 3 are Mar
www.eeworm.com/read/292964/3936836
m model_select1.m
% Bayesian model selection demo.
% We generate data from the model A->B
% and compute the posterior prob of all 3 dags on 2 nodes:
% (1) A B, (2) A B
% Models 2 and 3 are Markov equ
www.eeworm.com/read/292964/3937046
m mk_bat_dbn.m
function [bnet, names] = mk_bat_dbn()
% MK_BAT_DBN Make the BAT DBN
% [bnet, names] = mk_bat_dbn()
% See
% - Forbes, Huang, Kanazawa and Russell, "The BATmobile: Towards a Bayesian Automated Taxi", IJ
www.eeworm.com/read/434858/1867896
m model_select1.m
% Bayesian model selection demo.
% We generate data from the model A->B
% and compute the posterior prob of all 3 dags on 2 nodes:
% (1) A B, (2) A B
% Models 2 and 3 are Markov equ
www.eeworm.com/read/434858/1868043
m mk_bat_dbn.m
function [bnet, names] = mk_bat_dbn()
% MK_BAT_DBN Make the BAT DBN
% [bnet, names] = mk_bat_dbn()
% See
% - Forbes, Huang, Kanazawa and Russell, "The BATmobile: Towards a Bayesian Automated Taxi", IJ
www.eeworm.com/read/429426/1949341
py ownaivebayes.py
"""
Naive Bayes
Naive Bayesian learner/classifier.
icons/NaiveBayes.png
Janez Demsar (janez.demsar(@at@)fri.uni-lj.si)
www.eeworm.com/read/393163/2487782
m model_select2.m
% Online Bayesian model selection demo.
% We generate data from the model A->B
% and compute the posterior prob of all 3 dags on 2 nodes:
% (1) A B, (2) A B
% Models 2 and 3 are Mar
www.eeworm.com/read/393163/2487783
m model_select1.m
% Bayesian model selection demo.
% We generate data from the model A->B
% and compute the posterior prob of all 3 dags on 2 nodes:
% (1) A B, (2) A B
% Models 2 and 3 are Markov equ
www.eeworm.com/read/393163/2487993
m mk_bat_dbn.m
function [bnet, names] = mk_bat_dbn()
% MK_BAT_DBN Make the BAT DBN
% [bnet, names] = mk_bat_dbn()
% See
% - Forbes, Huang, Kanazawa and Russell, "The BATmobile: Towards a Bayesian Automated Taxi", IJ
www.eeworm.com/read/385191/2594696
svn-base learn_struct_ges.m.svn-base
function [cpdag, best_score, cache] = learn_struct_ges(data, nodesizes, varargin)
%
% LEARN_STRUCT_GES learns a structure of Bayesian net by Greedy Equivalence Search.
% cpdag = learn_struct_ges(Data,