annotate toolboxes/FullBNT-1.0.7/bnt/examples/dynamic/Old/old.water1.m @ 0:e9a9cd732c1e tip

first hg version after svn
author wolffd
date Tue, 10 Feb 2015 15:05:51 +0000
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wolffd@0 1 % Compare the speeds of various inference engines on the water DBN
wolffd@0 2
wolffd@0 3 [bnet, onodes] = mk_water_dbn;
wolffd@0 4
wolffd@0 5 T = 3;
wolffd@0 6
wolffd@0 7 engine = {};
wolffd@0 8 engine{end+1} = jtree_unrolled_dbn_inf_engine(bnet, T, onodes);
wolffd@0 9 engine{end+1} = hmm_inf_engine(bnet, onodes);
wolffd@0 10 engine{end+1} = frontier_inf_engine(bnet, onodes);
wolffd@0 11 engine{end+1} = jtree_dbn_inf_engine(bnet, onodes);
wolffd@0 12 engine{end+1} = bk_inf_engine(bnet, 'exact', onodes);
wolffd@0 13
wolffd@0 14 engine{end+1} = bk_inf_engine(bnet, 'ff', onodes);
wolffd@0 15 engine{end+1} = bk_inf_engine(bnet, { [1 2], [3 4 5 6], [7 8] }, onodes);
wolffd@0 16
wolffd@0 17 N = length(engine);
wolffd@0 18 exact = 1:5;
wolffd@0 19
wolffd@0 20
wolffd@0 21 filter = 0;
wolffd@0 22 err = cmp_inference(bnet, onodes, engine, exact, T, filter);
wolffd@0 23
wolffd@0 24 % elapsed times for enter_evidence (matlab 5.3 on PIII with 256MB running Redhat linux)
wolffd@0 25
wolffd@0 26 % T = 5, 4/20/00
wolffd@0 27 % 0.6266 unrolled *
wolffd@0 28 % 0.3490 hmm *
wolffd@0 29 % 1.1743 frontier
wolffd@0 30 % 1.4621 old frontier
wolffd@0 31 % 0.3270 fast frontier *
wolffd@0 32 % 1.3926 jtree
wolffd@0 33 % 1.3790 bk
wolffd@0 34 % 0.4916 fast bk
wolffd@0 35 % 0.4190 fast bk compiled
wolffd@0 36 % 0.3574 fast jtree *
wolffd@0 37
wolffd@0 38
wolffd@0 39 err = cmp_learning(bnet, onodes, engine, exact, T);
wolffd@0 40
wolffd@0 41 % elapsed times for learn_params_dbn_em (matlab 5.3 on PIII with 256MB running Redhat linux)
wolffd@0 42
wolffd@0 43 % T = 5, 2cases, 2 iter, 4/20/00
wolffd@0 44 % 3.5750 unrolled
wolffd@0 45 % 3.7475 hmm
wolffd@0 46 % 2.1452 fast frontier
wolffd@0 47 % 2.5724 fast bk compiled
wolffd@0 48 % 2.3387 fast jtree