mm_em.m function [LL, prior, transmat, obsmat, nrIterations] = ... dhmm_em (data, prior, transmat, obsmat, varargin) LEARN_DHMM Find the ML/MAP parameters of an HMM with discrete outputs using EM. [ ll_trace, prior, transmat, obsmat, iterNr] = learn_dhmm (data, prior0, transmat0, obsmat0, ...) Notation: Q (t) = hidden state, Y (t) = observation INPUTS:

HMM.txt

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