comparison toolboxes/FullBNT-1.0.7/bnt/examples/static/Models/Old/mk_hmm_bnet.m @ 0:cc4b1211e677 tip

initial commit to HG from
Changeset:
646 (e263d8a21543) added further path and more save "camirversion.m"

+function [bnet, onodes] = mk_hmm_bnet(T, Q, O, cts_obs, param_tying)
+% MK_HMM_BNET Make a (static( bnet to represent a hidden Markov model
+% [bnet, onodes] = mk_hmm_bnet(T, Q, O, cts_obs, param_tying)
+%
+% T = num time slices
+% Q = num hidden states
+% O = size of the observed node (num discrete values or length of vector)
+% cts_obs - 1 means the observed node is a continuous-valued vector, 0 means it's discrete
+% param_tying - 1 means we create 3 CPDs, 0 means we create 1 CPD per node
+
+N = 2*T;
+dag = zeros(N);
+for i=1:T-1
+  dag(i,i+1)=1;
+end
+onodes = T+1:N;
+for i=1:T
+  dag(i, onodes(i)) = 1;
+end
+
+if cts_obs
+  dnodes = 1:T;
+else
+  dnodes = 1:N;
+end
+ns = [Q*ones(1,T) O*ones(1,T)];
+
+if param_tying
+  eclass = [1 2*ones(1,T-1) 3*ones(1,T)];
+else
+  eclass = 1:N;
+end
+
+bnet = mk_bnet(dag, ns, dnodes, eclass);
+
+hnodes = mysetdiff(1:N, onodes);
+if ~param_tying
+  for i=hnodes(:)'
+    bnet.CPD{i} = tabular_CPD(bnet, i);
+  end
+  if cts_obs
+    for i=onodes(:)'
+      bnet.CPD{i} = gaussian_CPD(bnet, i);
+    end
+  else
+    for i=onodes(:)'
+      bnet.CPD{i} = tabular_CPD(bnet, i);
+    end
+  end
+else
+  bnet.CPD{1} = tabular_CPD(bnet, 1);
+  bnet.CPD{2} = tabular_CPD(bnet, 2);
+  if cts_obs
+    bnet.CPD{3} = gaussian_CPD(bnet, 3);
+  else
+    bnet.CPD{3} = tabular_CPD(bnet, 3);
+  end
+end