annotate toolboxes/FullBNT-1.0.7/bnt/examples/static/Belprop/belprop_loop1_gauss.m @ 0:cc4b1211e677
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Changeset:
646 (e263d8a21543) added further path and more save "camirversion.m"
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Daniel Wolff |
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Fri, 19 Aug 2016 13:07:06 +0200 |
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1 % Compare different loopy belief propagation algorithms on a graph with a single loop.
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2 % LBP should give exact results if it converges.
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3
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4 N = 4;
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5 dag = zeros(N,N);
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6 C = 1; S = 2; R = 3; W = 4;
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7 dag(C,[R S]) = 1;
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8 dag(R,W) = 1;
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9 dag(S,W)=1;
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10 ns = 2*ones(1,N);
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11 bnet = mk_bnet(dag, ns, 'discrete', []);
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12 for i=1:N
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13 bnet.CPD{i} = gaussian_CPD(bnet, i);
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14 end
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15
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16 engines = {};
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17 engines{end+1} = jtree_inf_engine(bnet);
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18 engines{end+1} = pearl_inf_engine(bnet, 'protocol', 'parallel', 'max_iter', 20);
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19 %engines{end+1} = pearl_inf_engine(bnet, 'protocol', 'parallel', 'max_iter', 20, 'filename', ...
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20 % '/home/eecs/murphyk/matlab/gausspearl.txt', 'tol', 1e-5);
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21
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22 % pearl gaussian does not compute loglik
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23 [time, engines] = cmp_inference_static(bnet, engines, 'maximize', 0, 'exact', 1, 'observed', [2], ...
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24 'check_ll', 0, 'singletons_only', 0, 'check_converged', [2]);
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25
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