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Layered hidden Markov model: Difference between revisions

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The layered [[hidden Markov model]] (LHMM) is a [[statistical model]] derived from the hidden Markov model (HMM).
A layered hidden Markov model (LHMM) consists of <math>''N</math>'' levels of HMMs, where the HMMs on level <math>N''i''&nbsp;+&nbsp;1</math> correspondscorrespond to observation symbols or probability generators at level <math>N</math>''i''.
Every level <math>''i</math>'' of the LHMM consists of ''K''<mathsub>K_i''i''</mathsub> HMMs running in parallel.
 
== Background ==
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