annotate toolboxes/FullBNT-1.0.7/bnt/examples/static/Belprop/belprop_loop1_gauss.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 different loopy belief propagation algorithms on a graph with a single loop.
wolffd@0 2 % LBP should give exact results if it converges.
wolffd@0 3
wolffd@0 4 N = 4;
wolffd@0 5 dag = zeros(N,N);
wolffd@0 6 C = 1; S = 2; R = 3; W = 4;
wolffd@0 7 dag(C,[R S]) = 1;
wolffd@0 8 dag(R,W) = 1;
wolffd@0 9 dag(S,W)=1;
wolffd@0 10 ns = 2*ones(1,N);
wolffd@0 11 bnet = mk_bnet(dag, ns, 'discrete', []);
wolffd@0 12 for i=1:N
wolffd@0 13 bnet.CPD{i} = gaussian_CPD(bnet, i);
wolffd@0 14 end
wolffd@0 15
wolffd@0 16 engines = {};
wolffd@0 17 engines{end+1} = jtree_inf_engine(bnet);
wolffd@0 18 engines{end+1} = pearl_inf_engine(bnet, 'protocol', 'parallel', 'max_iter', 20);
wolffd@0 19 %engines{end+1} = pearl_inf_engine(bnet, 'protocol', 'parallel', 'max_iter', 20, 'filename', ...
wolffd@0 20 % '/home/eecs/murphyk/matlab/gausspearl.txt', 'tol', 1e-5);
wolffd@0 21
wolffd@0 22 % pearl gaussian does not compute loglik
wolffd@0 23 [time, engines] = cmp_inference_static(bnet, engines, 'maximize', 0, 'exact', 1, 'observed', [2], ...
wolffd@0 24 'check_ll', 0, 'singletons_only', 0, 'check_converged', [2]);
wolffd@0 25