代码搜索：Inference
找到约 1,820 项符合「Inference」的源代码
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www.eeworm.com/read/140847/5779082
m belprop_loopy_discrete.m
% Compare different loopy belief propagation algorithms on a graph with many loops
bnet = mk_asia_bnet('orig');
engines = {};
engines{end+1} = jtree_inf_engine(bnet);
engines{end+1} = pearl_inf_engi
www.eeworm.com/read/133943/5897263
m belprop_loopy_gauss.m
% Compare different loopy belief propagation algorithms on a graph with many loops
% If LBP converges, the means should be exact
bnet = mk_asia_bnet('gauss');
engines = {};
engines{end+1} = jtree_in
www.eeworm.com/read/133943/5897265
m belprop_loopy_cg.m
% Same as cg1, except we assume all discretes are observed,
% and use loopy for approximate inference.
ns = 2*ones(1,9);
F = 1; W = 2; E = 3; B = 4; C = 5; D = 6; Min = 7; Mout = 8; L = 9;
n = 9;
dno
www.eeworm.com/read/133943/5897268
m belprop_loopy_discrete.m
% Compare different loopy belief propagation algorithms on a graph with many loops
bnet = mk_asia_bnet('orig');
engines = {};
engines{end+1} = jtree_inf_engine(bnet);
engines{end+1} = pearl_inf_engi
www.eeworm.com/read/160391/5571117
m belprop_loopy_gauss.m
% Compare different loopy belief propagation algorithms on a graph with many loops
% If LBP converges, the means should be exact
bnet = mk_asia_bnet('gauss');
engines = {};
engines{end+1} = jt
www.eeworm.com/read/160391/5571119
m belprop_loopy_cg.m
% Same as cg1, except we assume all discretes are observed,
% and use loopy for approximate inference.
ns = 2*ones(1,9);
F = 1; W = 2; E = 3; B = 4; C = 5; D = 6; Min = 7; Mout = 8; L = 9;
n = 9
www.eeworm.com/read/160391/5571122
m belprop_loopy_discrete.m
% Compare different loopy belief propagation algorithms on a graph with many loops
bnet = mk_asia_bnet('orig');
engines = {};
engines{end+1} = jtree_inf_engine(bnet);
engines{end+1} = pearl_in