comparison toolboxes/FullBNT-1.0.7/bnt/CPDs/@hhmmQ_CPD/Old/update_ess4.m @ 0:e9a9cd732c1e tip

first hg version after svn
author wolffd
date Tue, 10 Feb 2015 15:05:51 +0000
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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(i_counts_ndx, kndx, jndx) = fmarginal(i_fmarg_ndx...)
26 % where i_fmarg_ndx = 1 and i_counts_ndx = i if old_self is observed to have value i,
27 % i_fmarg_ndx = 1:Qsz and i_counts_ndx = 1:Qsz if old_self is hidden, etc.
28
29
30 if hidden_bitv(old_self)
31 i_counts_ndx = 1:Qsz;
32 i_fmarg_ndx = 1:Qsz;
33 eff_oldQsz = Qsz;
34 else
35 i_counts_ndx = evidence{old_self};
36 i_fmarg_ndx = 1;
37 eff_oldQsz = 1;
38 end
39
40 if all(hidden_bitv(Qps)) % we assume all are hidden or all are observed
41 k_counts_ndx = 1:Qpsz;
42 k_fmarg_ndx = 1:Qpsz;
43 eff_Qpsz = Qpsz;
44 else
45 k_counts_ndx = subv2ind(Qpsz, cat(1, evidence{Qps}));
46 k_fmarg_ndx = 1;
47 eff_Qpsz = 1;
48 end
49
50 if hidden_bitv(self)
51 j_counts_ndx = 1:Qsz;
52 j_fmarg_ndx = 1:Qsz;
53 eff_Qsz = Qsz;
54 else
55 j_counts_ndx = evidence{self};
56 j_fmarg_ndx = 1;
57 eff_Qsz = 1;
58 end
59
60 hor_counts = zeros(Qsz, Qpsz, Qsz);
61 ver_counts = zeros(Qpsz, Qsz);
62
63 if ~isempty(CPD.Fbelow_ndx)
64 if ~isempty(CPD.Fself_ndx) % general case
65 fmarg.T = myreshape(fmarg.T, [eff_oldQsz 2 2 eff_Qpsz eff_Qsz]);
66 hor_counts(i_counts_ndx, k_counts_ndx, j_counts_ndx) = ...
67 fmarg.T(:, i_fmarg_ndx, 2, 1, k_fmarg_ndx, j_fmarg_ndx);
68 ver_counts(k_counts_ndx, j_counts_ndx) = ... % sum over Fbelow and Qold
69 sum(fmarg.T(:, 1, 2, k_fmarg_ndx, j_fmarg_ndx), 1) + ...
70 sum(fmarg.T(:, 2, 2, k_fmarg_ndx, j_fmarg_ndx), 1);
71 else % no F from self, hence no startprob
72 fmarg.T = myreshape(fmarg.T, [eff_oldQsz 2 eff_Qpsz eff_Qsz]);
73 hor_counts(i_counts_ndx, k_counts_ndx, j_counts_ndx) = ...
74 fmarg.T(i_fmarg_ndx, 2, k_fmarg_ndx, j_fmarg_ndx);
75 end
76 else % no F signal from below
77 if ~isempty(CPD.Fself_ndx) % self F
78 fmarg.T = myreshape(fmarg.T, [eff_oldQsz 2 eff_Qpsz eff_Qsz]);
79 hor_counts(i_counts_ndx, k_counts_ndx, j_counts_ndx) = ...
80 fmarg.T(i_fmarg_ndx, 1, k_fmarg_ndx, j_fmarg_ndx);
81 ver_counts(k_counts_ndx, j_counts_ndx) = ... % sum over Qold
82 sum(fmarg.T(:, 2, k_fmarg_ndx, j_fmarg_ndx), 1);
83 else % no F from self
84 error('An hhmmQ node without any F parents is just a tabular_CPD')
85 end
86 end
87
88
89 CPD.sub_CPD_trans = update_ess_simple(CPD.sub_CPD_trans, hor_counts);
90
91 if ~isempty(CPD.sub_CPD_start)
92 CPD.sub_CPD_start = update_ess_simple(CPD.sub_CPD_start, ver_counts);
93 end
94
95