Mercurial > hg > camir-aes2014
annotate toolboxes/FullBNT-1.0.7/bnt/examples/dynamic/Old/chmm1.m @ 0:e9a9cd732c1e tip
first hg version after svn
author | wolffd |
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date | Tue, 10 Feb 2015 15:05:51 +0000 |
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children |
rev | line source |
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wolffd@0 | 1 % Compare the speeds of various inference engines on a coupled HMM |
wolffd@0 | 2 |
wolffd@0 | 3 N = 2; |
wolffd@0 | 4 Q = 2; |
wolffd@0 | 5 rand('state', 0); |
wolffd@0 | 6 randn('state', 0); |
wolffd@0 | 7 discrete = 1; |
wolffd@0 | 8 if discrete |
wolffd@0 | 9 Y = 2; % size of output alphabet |
wolffd@0 | 10 else |
wolffd@0 | 11 Y = 1; |
wolffd@0 | 12 end |
wolffd@0 | 13 coupled = 1; |
wolffd@0 | 14 [bnet, onodes] = mk_chmm(N, Q, Y, discrete, coupled); |
wolffd@0 | 15 ss = N*2; |
wolffd@0 | 16 |
wolffd@0 | 17 T = 3; |
wolffd@0 | 18 |
wolffd@0 | 19 |
wolffd@0 | 20 engine = {}; |
wolffd@0 | 21 tic; engine{end+1} = jtree_dbn_inf_engine(bnet, 'observed', onodes); toc |
wolffd@0 | 22 %tic; engine{end+1} = jtree_ndxSD_dbn_inf_engine(bnet, onodes); toc |
wolffd@0 | 23 %tic; engine{end+1} = jtree_ndxB_dbn_inf_engine(bnet, onodes); toc |
wolffd@0 | 24 engine{end+1} = hmm_inf_engine(bnet, onodes); |
wolffd@0 | 25 %engine{end+1} = dhmm_inf_engine(bnet, onodes); |
wolffd@0 | 26 tic; engine{end+1} = jtree_unrolled_dbn_inf_engine(bnet, T, onodes); toc |
wolffd@0 | 27 |
wolffd@0 | 28 %engine{end+1} = bk_inf_engine(bnet, 'ff', onodes); |
wolffd@0 | 29 %engine{end+1} = loopy_dbn_inf_engine(bnet, onodes); |
wolffd@0 | 30 |
wolffd@0 | 31 exact = [1 2 3]; |
wolffd@0 | 32 |
wolffd@0 | 33 filter = 0; |
wolffd@0 | 34 single = 0; |
wolffd@0 | 35 maximize = 0; |
wolffd@0 | 36 |
wolffd@0 | 37 [err, time, engine] = cmp_inference(bnet, onodes, engine, exact, T, filter, single, maximize); |
wolffd@0 | 38 %err = cmp_learning(bnet, onodes, engine, exact, T); |
wolffd@0 | 39 |
wolffd@0 | 40 |