Matches in DBpedia 2015-10 for { ?s ?p "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."@en }
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- Hierarchical_hidden_Markov_model abstract "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.".
- Hierarchical_hidden_Markov_model comment "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.".