代码搜索：Inference
找到约 1,820 项符合「Inference」的源代码
代码结果 1,820
www.eeworm.com/read/160391/5571123
m bp1.m
% Compare different loopy belief propagation algorithms on a graph with a single loop.
% LBP should give exact results if it converges.
seed = 0;
rand('state', seed);
randn('state', seed);
N
www.eeworm.com/read/140847/5779151
m gaussian2.m
% Make the following network (from Jensen (1996) p84 fig 4.17)
% 1
% / | \
% 2 3 4
% | | |
% 5 6 7
% \/ \/
% 8 9
% where all arcs point downwards
N = 9;
dag = zeros(N,N);
www.eeworm.com/read/160391/5571193
m gaussian2.m
% Make the following network (from Jensen (1996) p84 fig 4.17)
% 1
% / | \
% 2 3 4
% | | |
% 5 6 7
% \/ \/
% 8 9
% where all arcs point downwards
N = 9;
dag = zeros(N,N);
www.eeworm.com/read/140847/5779172
m bat1.m
% Compare the speeds of various inference engines on the BAT DBN
[bnet, names] = mk_bat_dbn;
T = 3; % fixed length sequence - we make it short just for speed
USEC = exist('@jtree_C_inf_engine/collec
www.eeworm.com/read/133943/5897334
m discrete1.m
% Compare various inference engines on the following network (from Jensen (1996) p84 fig 4.17)
% 1
% / | \
% 2 3 4
% | | |
% 5 6 7
% \/ \/
% 8 9
% where all arcs point downwards
N = 9;
www.eeworm.com/read/133943/5897356
m bat1.m
% Compare the speeds of various inference engines on the BAT DBN
[bnet, names] = mk_bat_dbn;
T = 3; % fixed length sequence - we make it short just for speed
USEC = exist('@jtree_C_inf_engine/collec
www.eeworm.com/read/160391/5571216
m bat1.m
% Compare the speeds of various inference engines on the BAT DBN
[bnet, names] = mk_bat_dbn;
T = 3; % fixed length sequence - we make it short just for speed
USEC = exist('@jtree_C_inf_engine/c
www.eeworm.com/read/140847/5779081
m belprop_polytree_cg.m
% Inference on a conditional Gaussian model
% Make the following polytree, where all arcs point down
% 1 2
% \ /
% 3
% / \
% 4 5
N = 5;
dag = zeros(N,N);
dag(1,3) = 1;
dag(2,3)
www.eeworm.com/read/133943/5897267
m belprop_polytree_cg.m
% Inference on a conditional Gaussian model
% Make the following polytree, where all arcs point down
% 1 2
% \ /
% 3
% / \
% 4 5
N = 5;
dag = zeros(N,N);
dag(1,3) = 1;
dag(2,3)
www.eeworm.com/read/160391/5571121
m belprop_polytree_cg.m
% Inference on a conditional Gaussian model
% Make the following polytree, where all arcs point down
% 1 2
% \ /
% 3
% / \
% 4 5
N = 5;
dag = zeros(N,N);
dag(1,3) = 1;
dag(2,3)