comparison toolboxes/FullBNT-1.0.7/bnt/examples/static/discrete2.m @ 0:e9a9cd732c1e tip

first hg version after svn

+% Compare various inference engines on the following network (from Jensen (1996) p84 fig 4.17)
+%    1
+%  / | \
+% 2  3  4
+% |  |  |
+% 5  6  7
+%  \/ \/
+%  8   9
+% where all arcs point downwards
+seed = 0;
+rand('state', seed);
+randn('state', seed);
+
+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;
+
+dnodes = 1:N;
+false = 1; true = 2;
+ns = 2*ones(1,N); % binary nodes
+
+onodes = [2 4];
+bnet = mk_bnet(dag, ns, 'observed', onodes);
+% use random params
+for i=1:N
+  bnet.CPD{i} = tabular_CPD(bnet, i);
+end
+
+%USEC = exist('@jtree_C_inf_engine/collect_evidence','file');
+query = [3];
+engine = {};
+engine{end+1} = jtree_inf_engine(bnet);
+engine{end+1} = jtree_sparse_inf_engine(bnet);
+%engine{end+1} = jtree_ndx_inf_engine(bnet, 'ndx_type', 'SD');
+%engine{end+1} = jtree_ndx_inf_engine(bnet, 'ndx_type', 'B');
+%engine{end+1} = jtree_ndx_inf_engine(bnet, 'ndx_type', 'D');
+%if USEC, engine{end+1} = jtree_C_inf_engine(bnet); end
+%engine{end+1} = var_elim_inf_engine(bnet);
+%engine{end+1} = enumerative_inf_engine(bnet);
+%engine{end+1} = jtree_onepass_inf_engine(bnet, query, onodes);
+
+maximize = 0;  % jtree_ndx crashes on max-prop
+[err, time] = cmp_inference_static(bnet, engine, 'maximize', maximize);
+