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

first hg version after svn

+% Same as cg1, except we assume all discretes are observed,
+% and use loopy for approximate inference.
+
+ns = 2*ones(1,9);
+F = 1; W = 2; E = 3; B = 4; C = 5; D = 6; Min = 7; Mout = 8; L = 9;
+n = 9;
+dnodes = [B F W];
+cnodes = mysetdiff(1:n, dnodes);
+
+%bnet  = mk_incinerator_bnet(ns);
+bnet  = mk_incinerator_bnet;
+
+bnet.observed = [dnodes E];
+
+engines = {};
+engines{end+1} = jtree_inf_engine(bnet);
+engines{end+1} = pearl_inf_engine(bnet, 'protocol', 'parallel');
+nengines = length(engines);
+
+
+[time, engines] = cmp_inference_static(bnet, engines, 'maximize', 0, 'check_ll', 0, ...
+				      'singletons_only', 0, 'exact', 1, 'check_converged', 2);