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Hierarchical hidden Markov model
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<p>The hierarchical hidden Markov model (HHMM) is a <a href="/facts/Statistical_model/jKkT5ftm">statistical model</a> derived from the <a href="/facts/Hidden_Markov_model/ur1zTAhP">hidden Markov model</a> (HMM). In an HHMM, each state is considered to be a self-contained <a href="/facts/Probabilistic_model/jKkT5ftm">probabilistic model</a>. More precisely, each state of the HHMM is itself an HHMM. </p><p>HHMMs and HMMs are useful in many fields, including <a href="/facts/Pattern_recognition/o1s38opj">pattern recognition</a>. </p>