Mercurial > hg > camir-ismir2012
diff toolboxes/FullBNT-1.0.7/bnt/examples/static/gaussian2.m @ 0:cc4b1211e677 tip
initial commit to HG from
Changeset:
646 (e263d8a21543) added further path and more save "camirversion.m"
author | Daniel Wolff |
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date | Fri, 19 Aug 2016 13:07:06 +0200 |
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--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/toolboxes/FullBNT-1.0.7/bnt/examples/static/gaussian2.m Fri Aug 19 13:07:06 2016 +0200 @@ -0,0 +1,40 @@ +% Make the following network (from Jensen (1996) p84 fig 4.17) +% 1 +% / | \ +% 2 3 4 +% | | | +% 5 6 7 +% \/ \/ +% 8 9 +% where all arcs point downwards + + +N = 9; +dag = zeros(N,N); +dag(1,2)=1; dag(1,3)=1; dag(1,4)=1; +dag(2,5)=1; dag(3,6)=1; dag(4,7)=1; +dag(5,8)=1; dag(6,8)=1; dag(6,9)=1; dag(7,9) = 1; + +ns = [5 4 3 2 2 1 2 2 2]; % vector-valued nodes +%ns = ones(1,9); % scalar nodes +dnodes = []; + +bnet = mk_bnet(dag, ns, 'discrete', []); +rand('state', 0); +randn('state', 0); +for i=1:N + bnet.CPD{i} = gaussian_CPD(bnet, i); +end + +clear engine; +engine{1} = gaussian_inf_engine(bnet); +engine{2} = jtree_inf_engine(bnet); + +[err, time] = cmp_inference_static(bnet, engine); + +Nsamples = 100; +samples = cell(N, Nsamples); +for s=1:Nsamples + samples(:,s) = sample_bnet(bnet); +end +bnet2 = learn_params(bnet, samples);