evidence+theory 源代码

% Like a durational HMM, except we use soft evidence on the observed nodes. % Should give the same results as HSMM/test_mgram2. p…

if 0 % Generate some sample paths bnet = mk_map_hhmm('p', 1); % assign numbers to the nodes in topological order U = 1; A = …

seed = 1; rand('state', seed); randn('state', seed); obs_model = 'unique'; % each cell has a unique label (essentially fully…

% Generate samples from the HHMM with the true params. seed = 1; rand('state', seed); randn('state', seed); discrete_obs = 0; b…

% Generate samples from the HHMM with the true params. seed = 0; rand('state', seed); randn('state', seed); discrete_obs = 1; b…

seed = 0; rand('state', seed); randn('state', seed); discrete_obs = 1; topright = 0; Qsizes = [2 4 2]; D = 3; Qnodes = 1:D; star…

% Compute Viterbi path discrete HMM by different methods intra = zeros(2); intra(1,2) = 1; inter = zeros(2); inter(1,1) = 1;…

function T = convert_to_table(CPD, domain, evidence) % CONVERT_TO_TABLE Convert a discrete CPD to a table % T = convert_to_table(C…

function pot = convert_to_pot(CPD, pot_type, domain, evidence) % CONVERT_TO_POT Convert a tabular CPD to one or more potentials % …

function CPD = update_ess(CPD, fmarginal, evidence, ns, cnodes, hidden_bitv) % UPDATE_ESS Update the Expected Sufficient Statistic…