wolffd@0: % Make the following HHMM wolffd@0: % wolffd@0: % LH RH wolffd@0: % / \ wolffd@0: % / \ wolffd@0: % LR -> UD -> RL -> DU RL -> UD -> LR -> DU wolffd@0: % \ wolffd@0: % \ wolffd@0: % Q1 -> Q2 wolffd@0: % wolffd@0: % where level 1 is fully interconnected (not shown) wolffd@0: % level 2 is left-right wolffd@0: % and each model at level 3 is a 2 state LR shared HMM wolffd@0: wolffd@0: Qsizes = [2 4 2]; wolffd@0: D = 3; wolffd@0: wolffd@0: % LEVEL 1 wolffd@0: wolffd@0: startprob1 = 'ergodic'; wolffd@0: transprob1 = 'ergodic'; wolffd@0: wolffd@0: wolffd@0: % LEVEL 2 wolffd@0: wolffd@0: startprob = zeros(2, 4); wolffd@0: % Q1 Q2 wolffd@0: startprob(1, 1) = 1; wolffd@0: startprob(2, 3) = 1; wolffd@0: wolffd@0: transprob = zeros(2, 4, 4); wolffd@0: transprob(1,:,:) = [0 1 0 0 wolffd@0: 0 0 1 0 wolffd@0: 0 0 0 1 wolffd@0: 0 0 0 1]; wolffd@0: transprob(2,:,:) = [0 0 0 1 wolffd@0: 1 0 0 0 wolffd@0: 0 1 0 0 wolffd@0: 0 0 0 1]; wolffd@0: wolffd@0: Q2args = {'startprob', startprob, 'transprob', transprob}; wolffd@0: wolffd@0: % always terminate in state 4 (default) wolffd@0: % F2args wolffd@0: wolffd@0: % LEVEL 3 wolffd@0: wolffd@0: % Defaults are fine: always start in state 1, left-right model, finish in state 2 wolffd@0: wolffd@0: wolffd@0: % OBS LEVEl wolffd@0: wolffd@0: chars = ['L', 'l', 'U', 'u', 'R', 'r', 'D', 'd']; wolffd@0: Osize = length(chars); wolffd@0: wolffd@0: obsprob = zeros([4 2 Osize]); wolffd@0: % Q2 Q3 O wolffd@0: obsprob(1, 1, find(chars == 'L')) = 1.0; wolffd@0: obsprob(1, 2, find(chars == 'l')) = 1.0; wolffd@0: wolffd@0: obsprob(2, 1, find(chars == 'U')) = 1.0; wolffd@0: obsprob(2, 2, find(chars == 'u')) = 1.0; wolffd@0: wolffd@0: obsprob(3, 1, find(chars == 'R')) = 1.0; wolffd@0: obsprob(3, 2, find(chars == 'r')) = 1.0; wolffd@0: wolffd@0: obsprob(4, 1, find(chars == 'D')) = 1.0; wolffd@0: obsprob(4, 2, find(chars == 'd')) = 1.0; wolffd@0: wolffd@0: Oargs = {'CPT', obsprob}; wolffd@0: wolffd@0: wolffd@0: bnet = mk_hhmm3('Qsizes', Qsizes, 'Osize', Osize', 'discrete_obs', 1, 'Oargs', Oargs, 'Q1args', Q1args, 'Q2args', Q2args); wolffd@0: wolffd@0: T = 20; wolffd@0: usecell = 0; wolffd@0: evidence = sample_dbn(bnet, T, usecell); wolffd@0: %chars(evidence(end,:)) wolffd@0: wolffd@0: Q1 = 1; Q2 = 2; Q3 = 3; F3 = 4; F2 = 5; obs = 6; wolffd@0: Qnodes = [Q1 Q2 Q3]; Fnodes = [F2 F3]; wolffd@0: wolffd@0: pretty_print_hhmm_parse(evidence, Qnodes, Fnodes, obs, chars); wolffd@0: wolffd@0: eclass = bnet.equiv_class; wolffd@0: S=struct(bnet.CPD{eclass(Q2,2)})