dbn_init_bel.m

来自「Bayes网络工具箱」· M 代码 · 共 22 行

function [engine, newbel, loglik] = dbn_init_bel(engine, evidence)
% DBN_INIT_BEL Compute the initial belief state
% [engine, newbel, loglik] = dbn_init_bel(engine, evidence)
%
% oldbel is Pr(X(t-1)|Y(1:t-1)), newbel is Pr(X(t)|Y(1:t))
% evidence{i} contains the evidence on node i in slice t

ss = length(evidence);
bnet = bnet_from_engine(engine);
CPDpot = cell(1, ss);
for n=1:ss
  fam = family(bnet.dag, n, 1);
  e = bnet.equiv_class(n, 1);
  CPDpot{n} = CPD_to_table(bnet.CPD{e}, fam, bnet.node_sizes, bnet.cnodes, evidence);
end

clqs = [engine.fwd1.clq_ass_to_node];
ndx = [engine.fwd1.cluster_ndx];
pots = [CPDpot];
[newbel, loglik] = enter_soft_evidence(engine.sub_engine1, clqs, pots, ndx);