comparison toolboxes/FullBNT-1.0.7/bnt/examples/static/Belprop/bp1.m @ 0:e9a9cd732c1e tip

first hg version after svn
author wolffd
date Tue, 10 Feb 2015 15:05:51 +0000
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-1:000000000000 0:e9a9cd732c1e
1 % Compare different loopy belief propagation algorithms on a graph with a single loop.
2 % LBP should give exact results if it converges.
3
4 seed = 0;
5 rand('state', seed);
6 randn('state', seed);
7
8 N = 2;
9 dag = zeros(N,N);
10 dag(1,2)=1;
11 ns = ones(1,N);
12 bnet = mk_bnet(dag, ns, 'discrete', []);
13 for i=1:N
14 %bnet.CPD{i} = gaussian_CPD(bnet, i, 'mean', 0);
15 bnet.CPD{i} = gaussian_CPD(bnet, i);
16 end
17
18 engines = {};
19 engines{end+1} = jtree_inf_engine(bnet);
20 engines{end+1} = pearl_inf_engine(bnet, 'protocol', 'tree');
21
22 [time, engines] = cmp_inference_static(bnet, engines, 'maximize', 0, 'exact', 1:2, 'observed', [2], ...
23 'check_ll', 0, 'singletons_only', 1, 'check_converged', []);
24