comparison toolboxes/FullBNT-1.0.7/bnt/CPDs/@hhmmQ_CPD/Old/update_ess3.m @ 0:e9a9cd732c1e tip

first hg version after svn
author wolffd
date Tue, 10 Feb 2015 15:05:51 +0000
parents
children
comparison
equal deleted inserted replaced
-1:000000000000 0:e9a9cd732c1e
1 function CPD = update_ess(CPD, fmarginal, evidence, ns, cnodes, hidden_bitv)
2 % UPDATE_ESS Update the Expected Sufficient Statistics of a hhmm Q node.
3 % function CPD = update_ess(CPD, fmarginal, evidence, ns, cnodes, idden_bitv)
4 %
5 % we assume if one of the Qps is observed, all of them are
6 % We assume the F nodes are already hidden
7
8 % Figure out the node numbers associated with each parent
9 dom = fmarginal.domain;
10 self = dom(CPD.self_ndx);
11 old_self = dom(CPD.old_self_ndx);
12 %Fself = dom(CPD.Fself_ndx);
13 %Fbelow = dom(CPD.Fbelow_ndx);
14 Qps = dom(CPD.Qps_ndx);
15
16 Qsz = CPD.Qsz;
17 Qpsz = CPD.Qpsz;
18
19
20 % hor_counts(old_self, Qps, self),
21 % fmarginal(old_self, Fbelow, Fself, Qps, self)
22 % hor_counts(i,k,j) = fmarginal(i,2,1,k,j) % below has finished, self has not
23 % ver_counts(i,k,j) = fmarginal(i,2,2,k,j) % below has finished, and so has self (reset)
24 % Since any of i,j,k may be observed, we write
25 % hor_counts(ndx{:}) = fmarginal(...)
26 % where e.g., ndx = {1, ':', 2} if Qps is hidden but we observe old_self=1, self=2.
27
28 % ndx{i,k,j}
29 if hidden_bitv(old_self)
30 ndx{1} = ':';
31 else
32 ndx{1} = evidence{old_self};
33 end
34 if hidden_bitv(Qps)
35 ndx{2} = ':';
36 else
37 ndx{2} = subv2ind(Qpsz, cat(1, evidence{Qps}));
38 end
39 if hidden_bitv(self)
40 ndx{3} = ':';
41 else
42 ndx{3} = evidence{self};
43 end
44
45 fmarg = add_ev_to_dmarginal(fmarginal, evidence, ns);
46 % marg(Qold(t-1), Fbelow(t-1), Fself(t-1), Qps(t), Qself(t))
47 hor_counts = zeros(Qsz, Qpsz, Qsz);
48 ver_counts = zeros(Qpsz, Qsz);
49
50 if ~isempty(CPD.Fbelow_ndx)
51 if ~isempty(CPD.Fself_ndx) % general case
52 fmarg.T = myreshape(fmarg.T, [Qsz 2 2 Qpsz Qsz]);
53 marg_ndx = {ndx{1}, 2, 1, ndx{2}, ndx{3}};
54 hor_counts(ndx{:}) = fmarg.T(marg_ndx{:});
55 ver_counts(ndx{2:3}) = ... % sum over Fbelow and Qold=i
56 sum(fmarg.T({ndx{1}, 1, 2, ndx{2}, ndx{3}}),1) + ..
57 sum(fmarg.T({ndx{1}, 2, 2, ndx{2}, ndx{3}}),1);
58 else % no F from self, hence no startprob
59 fmarg.T = myreshape(fmarg.T, [Qsz 2 Qpsz Qsz]);
60 hor_counts(ndx{:}) = fmarg.T({ndx{1}, 2, ndx{2}, ndx{3}});
61 end
62 else % no F signal from below
63 if ~isempty(CPD.Fself_ndx) % self F
64 fmarg.T = myreshape(fmarg.T, [Qsz 2 Qpsz Qsz]);
65 hor_counts(ndx{:}) = fmarg.T({ndx{1}, 1, ndx{2}, ndx{3}});
66 ver_counts(ndx{2:3}) = ... % sum over Qold=i
67 sum(fmarg.T({ndx{1}, 2, ndx{2}, ndx{3}}),1);
68 else % no F from self
69 error('An hhmmQ node without any F parents is just a tabular_CPD')
70 end
71 end
72
73
74 CPD.sub_CPD_trans = update_ess_simple(CPD.sub_CPD_trans, hor_counts);
75
76 if ~isempty(CPD.sub_CPD_start)
77 CPD.sub_CPD_start = update_ess_simple(CPD.sub_CPD_start, ver_counts);
78 end
79
80