Hierarchical hidden Markov model
id:
hierarchical-hidden-markov-model-278-13738797
title:
Hierarchical hidden Markov model
text:
The hierarchical hidden Markov model (HHMM) is a statistical model derived from the hidden Markov model (HMM). In an HHMM, each state is considered to be a self-contained probabilistic model. More precisely, each state of the HHMM is itself an HHMM. HHMMs and HMMs are useful in many fields, including pattern recognition.
brand slug:
wiki
category slug:
encyclopedia
description:
original url:
https://en.wikipedia.org/wiki/Hierarchical_hidden_Markov_model
date created:
date modified:
2024-01-09T21:50:59Z
main entity:
{"identifier":"Q17029368","url":"https://www.wikidata.org/entity/Q17029368"}
image:
fields total:
13
integrity:
13