Mercurial > hg > camir-aes2014
view toolboxes/FullBNT-1.0.7/bnt/inference/dynamic/@bk_ff_hmm_inf_engine/private/mk_hmm_obs_lik_vec.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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function obslik = mk_hmm_obs_lik_vec(bnet, evidence) % MK_HMM_OBS_LIK_VEC Make the observation likelihood vector for one slice % obslik = mk_obs_lik(bnet, evidence) % % obslik(i) = Pr(y(t) | X(t)=i) % evidence{i,1} contains the evidence on node i in slice t-1 % evidence{i,2} contains the evidence on node i in slice t ns = bnet.node_sizes; ss = length(bnet.intra); onodes = find(~isemptycell(evidence(:))); hnodes = find(isemptycell(evidence(:))); ens = ns; ens(onodes) = 1; Q = prod(ens(hnodes)); obslik = zeros(1,Q); dom = (1:ss)+ss; bigpot = dpot(dom, ens(dom)); onodes1 = find(~isemptycell(evidence(:,1))); for i=onodes1(:)' e = bnet.equiv_class(i,2); fam = family(bnet.dag, i, 2); pot = convert_to_pot(bnet.CPD{e}, 'd', fam, evidence); bigpot = multiply_by_pot(bigpot, pot); end m = pot_to_marginal(bigpot); obslik = m.T(:);