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annotate toolboxes/FullBNT-1.0.7/bnt/examples/static/Belprop/belprop_polytree_cg.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 % Inference on a conditional Gaussian model
wolffd@0 2
wolffd@0 3 % Make the following polytree, where all arcs point down
wolffd@0 4
wolffd@0 5 % 1 2
wolffd@0 6 % \ /
wolffd@0 7 % 3
wolffd@0 8 % / \
wolffd@0 9 % 4 5
wolffd@0 10
wolffd@0 11 N = 5;
wolffd@0 12 dag = zeros(N,N);
wolffd@0 13 dag(1,3) = 1;
wolffd@0 14 dag(2,3) = 1;
wolffd@0 15 dag(3, [4 5]) = 1;
wolffd@0 16
wolffd@0 17 ns = [2 1 2 1 2];
wolffd@0 18
wolffd@0 19 dnodes = 1;
wolffd@0 20 %onodes = [1 5];
wolffd@0 21 bnet = mk_bnet(dag, ns, 'discrete', dnodes, 'observed', dnodes);
wolffd@0 22
wolffd@0 23 bnet.CPD{1} = tabular_CPD(bnet, 1);
wolffd@0 24 for i=2:N
wolffd@0 25 bnet.CPD{i} = gaussian_CPD(bnet, i);
wolffd@0 26 end
wolffd@0 27
wolffd@0 28 engine = {};
wolffd@0 29 engine{end+1} = jtree_inf_engine(bnet);
wolffd@0 30 engine{end+1} = pearl_inf_engine(bnet, 'protocol', 'parallel');
wolffd@0 31
wolffd@0 32 [time, engine] = cmp_inference_static(bnet, engine, 'maximize', 0, 'check_ll', 0, ...
wolffd@0 33 'singletons_only', 0, 'observed', [1 3]);