1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
|
% Compare the speeds of various inference engines on the water DBN
[bnet, onodes] = mk_water_dbn;
T = 3;
engine = {};
engine{end+1} = jtree_unrolled_dbn_inf_engine(bnet, T, onodes);
engine{end+1} = hmm_inf_engine(bnet, onodes);
engine{end+1} = frontier_inf_engine(bnet, onodes);
engine{end+1} = jtree_dbn_inf_engine(bnet, onodes);
engine{end+1} = bk_inf_engine(bnet, 'exact', onodes);
engine{end+1} = bk_inf_engine(bnet, 'ff', onodes);
engine{end+1} = bk_inf_engine(bnet, { [1 2], [3 4 5 6], [7 8] }, onodes);
N = length(engine);
exact = 1:5;
filter = 0;
err = cmp_inference(bnet, onodes, engine, exact, T, filter);
% elapsed times for enter_evidence (matlab 5.3 on PIII with 256MB running Redhat linux)
% T = 5, 4/20/00
% 0.6266 unrolled *
% 0.3490 hmm *
% 1.1743 frontier
% 1.4621 old frontier
% 0.3270 fast frontier *
% 1.3926 jtree
% 1.3790 bk
% 0.4916 fast bk
% 0.4190 fast bk compiled
% 0.3574 fast jtree *
err = cmp_learning(bnet, onodes, engine, exact, T);
% elapsed times for learn_params_dbn_em (matlab 5.3 on PIII with 256MB running Redhat linux)
% T = 5, 2cases, 2 iter, 4/20/00
% 3.5750 unrolled
% 3.7475 hmm
% 2.1452 fast frontier
% 2.5724 fast bk compiled
% 2.3387 fast jtree
|
