Mercurial > hg > camir-aes2014
view toolboxes/FullBNT-1.0.7/bnt/CPDs/@hhmmQ_CPD/Old/update_ess4.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 CPD = update_ess(CPD, fmarginal, evidence, ns, cnodes, hidden_bitv) % UPDATE_ESS Update the Expected Sufficient Statistics of a hhmm Q node. % function CPD = update_ess(CPD, fmarginal, evidence, ns, cnodes, idden_bitv) % % we assume if one of the Qps is observed, all of them are % We assume the F nodes are already hidden % Figure out the node numbers associated with each parent dom = fmarginal.domain; self = dom(CPD.self_ndx); old_self = dom(CPD.old_self_ndx); %Fself = dom(CPD.Fself_ndx); %Fbelow = dom(CPD.Fbelow_ndx); Qps = dom(CPD.Qps_ndx); Qsz = CPD.Qsz; Qpsz = CPD.Qpsz; % hor_counts(old_self, Qps, self), % fmarginal(old_self, Fbelow, Fself, Qps, self) % hor_counts(i,k,j) = fmarginal(i,2,1,k,j) % below has finished, self has not % ver_counts(i,k,j) = fmarginal(i,2,2,k,j) % below has finished, and so has self (reset) % Since any of i,j,k may be observed, we write % hor_counts(i_counts_ndx, kndx, jndx) = fmarginal(i_fmarg_ndx...) % where i_fmarg_ndx = 1 and i_counts_ndx = i if old_self is observed to have value i, % i_fmarg_ndx = 1:Qsz and i_counts_ndx = 1:Qsz if old_self is hidden, etc. if hidden_bitv(old_self) i_counts_ndx = 1:Qsz; i_fmarg_ndx = 1:Qsz; eff_oldQsz = Qsz; else i_counts_ndx = evidence{old_self}; i_fmarg_ndx = 1; eff_oldQsz = 1; end if all(hidden_bitv(Qps)) % we assume all are hidden or all are observed k_counts_ndx = 1:Qpsz; k_fmarg_ndx = 1:Qpsz; eff_Qpsz = Qpsz; else k_counts_ndx = subv2ind(Qpsz, cat(1, evidence{Qps})); k_fmarg_ndx = 1; eff_Qpsz = 1; end if hidden_bitv(self) j_counts_ndx = 1:Qsz; j_fmarg_ndx = 1:Qsz; eff_Qsz = Qsz; else j_counts_ndx = evidence{self}; j_fmarg_ndx = 1; eff_Qsz = 1; end hor_counts = zeros(Qsz, Qpsz, Qsz); ver_counts = zeros(Qpsz, Qsz); if ~isempty(CPD.Fbelow_ndx) if ~isempty(CPD.Fself_ndx) % general case fmarg.T = myreshape(fmarg.T, [eff_oldQsz 2 2 eff_Qpsz eff_Qsz]); hor_counts(i_counts_ndx, k_counts_ndx, j_counts_ndx) = ... fmarg.T(:, i_fmarg_ndx, 2, 1, k_fmarg_ndx, j_fmarg_ndx); ver_counts(k_counts_ndx, j_counts_ndx) = ... % sum over Fbelow and Qold sum(fmarg.T(:, 1, 2, k_fmarg_ndx, j_fmarg_ndx), 1) + ... sum(fmarg.T(:, 2, 2, k_fmarg_ndx, j_fmarg_ndx), 1); else % no F from self, hence no startprob fmarg.T = myreshape(fmarg.T, [eff_oldQsz 2 eff_Qpsz eff_Qsz]); hor_counts(i_counts_ndx, k_counts_ndx, j_counts_ndx) = ... fmarg.T(i_fmarg_ndx, 2, k_fmarg_ndx, j_fmarg_ndx); end else % no F signal from below if ~isempty(CPD.Fself_ndx) % self F fmarg.T = myreshape(fmarg.T, [eff_oldQsz 2 eff_Qpsz eff_Qsz]); hor_counts(i_counts_ndx, k_counts_ndx, j_counts_ndx) = ... fmarg.T(i_fmarg_ndx, 1, k_fmarg_ndx, j_fmarg_ndx); ver_counts(k_counts_ndx, j_counts_ndx) = ... % sum over Qold sum(fmarg.T(:, 2, k_fmarg_ndx, j_fmarg_ndx), 1); else % no F from self error('An hhmmQ node without any F parents is just a tabular_CPD') end end CPD.sub_CPD_trans = update_ess_simple(CPD.sub_CPD_trans, hor_counts); if ~isempty(CPD.sub_CPD_start) CPD.sub_CPD_start = update_ess_simple(CPD.sub_CPD_start, ver_counts); end