Mercurial > hg > camir-aes2014
comparison toolboxes/FullBNT-1.0.7/bnt/examples/static/SCG/scg3.m @ 0:e9a9cd732c1e tip
first hg version after svn
author | wolffd |
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date | Tue, 10 Feb 2015 15:05:51 +0000 |
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comparison
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-1:000000000000 | 0:e9a9cd732c1e |
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1 % Compare various inference engines on the following network (from Jensen (1996) p84 fig 4.17) | |
2 % 1 | |
3 % / | \ | |
4 % 2 3 4 | |
5 % | | | | |
6 % 5 6 7 | |
7 % \/ \/ | |
8 % 8 9 | |
9 % where all arcs point downwards | |
10 | |
11 N = 9; | |
12 dag = zeros(N,N); | |
13 dag(1,2)=1; dag(1,3)=1; dag(1,4)=1; | |
14 dag(2,5)=1; dag(3,6)=1; dag(4,7)=1; | |
15 dag(5,8)=1; dag(6,8)=1; dag(6,9)=1; dag(7,9) = 1; | |
16 | |
17 gauss = 1; | |
18 if gauss | |
19 ns = ones(1,N); % scalar nodes | |
20 ns(1) = 2; | |
21 ns(9) = 3; | |
22 dnodes = []; | |
23 else | |
24 ns = 2*ones(1,N); % binary nodes | |
25 dnodes = 1:N; | |
26 end | |
27 | |
28 bnet = mk_bnet(dag, ns, 'discrete', dnodes); | |
29 % use random params | |
30 for i=1:N | |
31 if gauss | |
32 bnet.CPD{i} = gaussian_CPD(bnet, i); | |
33 else | |
34 bnet.CPD{i} = tabular_CPD(bnet, i); | |
35 end | |
36 end | |
37 | |
38 engines = {}; | |
39 engines{1} = jtree_inf_engine(bnet); | |
40 engines{2} = stab_cond_gauss_inf_engine(bnet); | |
41 | |
42 [err, time] = cmp_inference_static(bnet, engines); |