annotate toolboxes/FullBNT-1.0.7/bnt/inference/static/@jtree_limid_inf_engine/jtree_limid_inf_engine.m @ 0:e9a9cd732c1e tip

first hg version after svn
author wolffd
date Tue, 10 Feb 2015 15:05:51 +0000
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wolffd@0 1 function engine = jtree_limid_inf_engine(bnet)
wolffd@0 2 % JTREE_LIMID_INF_ENGINE Make a junction tree engine for use by solve_limid
wolffd@0 3 % engine = jtree_limid_inf_engine(bnet)
wolffd@0 4 %
wolffd@0 5 % This engine is designed to compute marginals on decision nodes
wolffd@0 6
wolffd@0 7
wolffd@0 8 MG = moralize(bnet.dag);
wolffd@0 9 % We do not remove the utility nodes, because that complicates the book-keeping.
wolffd@0 10 % Leaving them in will not introduce any un-necessary triangulation arcs, because they are always leaves.
wolffd@0 11 % Also, since utility nodes have size 1, they do not increase the size of the potentials.
wolffd@0 12
wolffd@0 13 ns = bnet.node_sizes;
wolffd@0 14 elim_order = best_first_elim_order(MG, ns);
wolffd@0 15 [MTG, engine.cliques] = triangulate(MG, elim_order);
wolffd@0 16 [engine.jtree, root, B, w] = cliques_to_jtree(engine.cliques, ns);
wolffd@0 17
wolffd@0 18 % A node can be a member of many cliques, but is assigned to exactly one, to avoid
wolffd@0 19 % double-counting its CPD. We assign node i to clique c if c is the "lightest" clique that
wolffd@0 20 % contains i's family, so it can accomodate its CPD.
wolffd@0 21 N = length(bnet.dag);
wolffd@0 22 engine.clq_ass_to_node = zeros(1, N);
wolffd@0 23 for i=1:N
wolffd@0 24 clqs_containing_family = find(all(B(:,family(bnet.dag, i)), 2)); % all selected columns must be 1
wolffd@0 25 c = clqs_containing_family(argmin(w(clqs_containing_family)));
wolffd@0 26 engine.clq_ass_to_node(i) = c;
wolffd@0 27 end
wolffd@0 28
wolffd@0 29
wolffd@0 30 % Compute the separators between connected cliques.
wolffd@0 31 [is,js] = find(engine.jtree > 0);
wolffd@0 32 num_cliques = length(engine.cliques);
wolffd@0 33 engine.separator = cell(num_cliques, num_cliques);
wolffd@0 34 for k=1:length(is)
wolffd@0 35 i = is(k); j = js(k);
wolffd@0 36 engine.separator{i,j} = find(B(i,:) & B(j,:)); % intersect(cliques{i}, cliques{j});
wolffd@0 37 end
wolffd@0 38
wolffd@0 39
wolffd@0 40 % create |D| different rooted jtree's
wolffd@0 41 engine.rooted_jtree = cell(1, N);
wolffd@0 42 engine.preorder = cell(1, N);
wolffd@0 43 engine.postorder = cell(1, N);
wolffd@0 44 for d=bnet.decision_nodes(:)'
wolffd@0 45 root = engine.clq_ass_to_node(d);
wolffd@0 46 [engine.rooted_jtree{d}, engine.preorder{d}, engine.postorder{d}] = mk_rooted_tree(engine.jtree, root);
wolffd@0 47 end
wolffd@0 48
wolffd@0 49 engine.exclude = [];
wolffd@0 50 engine.evidence = [];
wolffd@0 51
wolffd@0 52 engine = class(engine, 'jtree_limid_inf_engine', inf_engine(bnet));