update_cpt.m
来自「麻省理工学院的人工智能工具箱,很珍贵,希望对大家有用!」· M 代码 · 共 54 行
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54 行
function CPD = update_CPT(CPD)% Compute the big CPT for an HHMM Q node (including F parents) given internal transprob and startprob% function CPD = update_CPT(CPD)if (CPD.d==1) if ~CPD.F1toQ1 % no F from self, hence no startprob Qsz = size(CPD.transprob,1); % F2(t-1) P(Q1(t)=j | Q1(t-1)=i) % 1 delta(i,j) % 2 transprob(i,j) CPT = zeros(Qsz, 2, Qsz); CPT(:, 1, :) = eye(Qsz); CPT(:, 2, :) = CPD.transprob; else % F2(t-1) F1(t-1) P(Qd(t)=j| Qd(t-1)=i) % ------------------------------------------------------ % 1 1 delta(i,j) % 2 1 transprob(i,j) % 1 2 impossible % 2 2 startprob(j) CPT = zeros(Qsz, 2, 2, Qsz); CPT(:, 1, 1, :) = eye(Qsz); CPT(:, 2, 1, :) = CPD.transprob; CPT(:, 1, 2, :) = eye(Qsz); CPT(:, 2, 2, :) = repmat(reshape(CPD.startprob, [1 Qsz]), [Qsz 1]); % replicate over i endelse [Qsz Qpsz Qsz2] = size(CPD.transprob); if CPD.d==CPD.D % no F from below % FD(t-1) P(QD(t)=j | QD(t-1)=i, Qps(t)=k) % 1 transprob(i,k,j) % 2 startprob(k,j) CPT = zeros(Qsz, 2, Qpsz, Qsz); CPT(:, 1, :, :) = CPD.transprob; CPT(:, 2, :, :) = repmat(reshape(CPD.startprob, [1 Qpsz Qsz]), [Qsz 1 1]); % replicate over i else % general case % Fd+1(t-1) Fd(t-1) P(Qd(t)=j| Qd(t-1)=i, Qps(t)=k) % ------------------------------------------------------ % 1 1 delta(i,j) % 2 1 transprob(i,k,j) % 1 2 impossible % 2 2 startprob(k,j) CPT = zeros(Qsz, 2, 2, Qpsz, Qsz); I = repmat(eye(Qsz), [1 1 Qpsz]); % i,j,k I = permute(I, [1 3 2]); % i,k,j CPT(:, 1, 1, :, :) = I; CPT(:, 2, 1, :, :) = CPD.transprob; CPT(:, 1, 2, :, :) = I; CPT(:, 2, 2, :, :) = repmat(reshape(CPD.startprob, [1 Qpsz Qsz]), [Qsz 1 1]); % replicate over i endendCPD = set_fields(CPD, 'CPT', CPT);
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