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/396844/2407651
m bnet_to_gdl_graph.m
function gdl = bnet_to_gdl_graph(bnet)
% BNET_TO_GDL_GRAPH Convert a Bayesian network to a GDL graph
% gdl = bnet_to_gdl_graph(bnet)
%
% Each node in the BN gets converted to a single node in the GDL
www.eeworm.com/read/393163/2487885
m mk_orig_bat_dbn.m
function [bnet, names] = mk_orig_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
www.eeworm.com/read/393163/2488874
m bnet_to_gdl_graph.m
function gdl = bnet_to_gdl_graph(bnet)
% BNET_TO_GDL_GRAPH Convert a Bayesian network to a GDL graph
% gdl = bnet_to_gdl_graph(bnet)
%
% Each node in the BN gets converted to a single node in the GDL
www.eeworm.com/read/160391/5571137
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 Marko
www.eeworm.com/read/160391/5571209
m mk_orig_bat_dbn.m
function [bnet, names] = mk_orig_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
www.eeworm.com/read/160391/5571287
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"
www.eeworm.com/read/202715/15375387
m bot_asir.m
% particle for bearing only tracking example
% Refer to the following reference:
% N.J.Gordon, D.J. Saimond, A.F.M. Smith, "Novel approach to
% nonlinear/ non-Gaussian Bayesian state estimation", I
www.eeworm.com/read/428451/8867354
m bay_lssvmard.m
function [inputs,ordered,costs,sig2n,model] = bay_lssvmARD(model,type,btype,nb);
% Bayesian Automatic Relevance Determination of the inputs of an LS-SVM
%
%
% >> dimensions = bay_lssvmARD({X,Y,type,
www.eeworm.com/read/427586/8932237
m bay_lssvmard.m
function [inputs,ordered,costs,sig2n,model] = bay_lssvmARD(model,type,btype,nb);
% Bayesian Automatic Relevance Determination of the inputs of an LS-SVM
%
%
% >> dimensions = bay_lssvmARD({X,Y,type,
www.eeworm.com/read/183445/9158785
m bay_lssvmard.m
function [inputs,ordered,costs,sig2n,model] = bay_lssvmARD(model,type,btype,nb);
% Bayesian Automatic Relevance Determination of the inputs of an LS-SVM
%
%
% >> dimensions = bay_lssvmARD({X,Y,type,