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annotate toolboxes/FullBNT-1.0.7/bnt/examples/dynamic/HHMM/Map/sample_from_map.m @ 0:e9a9cd732c1e tip

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first hg version after svn
author wolffd
date Tue, 10 Feb 2015 15:05:51 +0000
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wolffd@0 1 if 0
wolffd@0 2 % Generate some sample paths
wolffd@0 3
wolffd@0 4 bnet = mk_map_hhmm('p', 1);
wolffd@0 5 % assign numbers to the nodes in topological order
wolffd@0 6 U = 1; A = 2; C = 3; F = 4; O = 5;
wolffd@0 7
wolffd@0 8
wolffd@0 9 seed = 0;
wolffd@0 10 rand('state', seed);
wolffd@0 11 randn('state', seed);
wolffd@0 12
wolffd@0 13 % control policy = sweep right then left
wolffd@0 14 T = 10;
wolffd@0 15 ss = 5;
wolffd@0 16 ev = cell(ss, T);
wolffd@0 17 ev(U,:) = num2cell([R*ones(1,5) L*ones(1,5)]);
wolffd@0 18
wolffd@0 19 % fix initial conditions to be in left most state
wolffd@0 20 ev{A,1} = 1;
wolffd@0 21 ev{C,1} = 1;
wolffd@0 22 evidence = sample_dbn(bnet, 'length', T, 'evidence', ev)
wolffd@0 23
wolffd@0 24
wolffd@0 25 % Now do same but with noisy actuators
wolffd@0 26
wolffd@0 27 bnet = mk_map_hhmm('p', 0.8);
wolffd@0 28 evidence = sample_dbn(bnet, 'length', T, 'evidence', ev)
wolffd@0 29
wolffd@0 30 end
wolffd@0 31
wolffd@0 32 % Now do same but with 4 observations per slice
wolffd@0 33
wolffd@0 34 bnet = mk_map_hhmm('p', 0.8, 'obs_model', 'four');
wolffd@0 35 ss = bnet.nnodes_per_slice;
wolffd@0 36
wolffd@0 37 ev = cell(ss, T);
wolffd@0 38 ev(U,:) = num2cell([R*ones(1,5) L*ones(1,5)]);
wolffd@0 39 ev{A,1} = 1;
wolffd@0 40 ev{C,1} = 1;
wolffd@0 41 evidence = sample_dbn(bnet, 'length', T, 'evidence', ev)