About: Layered hidden Markov model

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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 N levels of HMMs, where the HMMs on level i + 1 correspond to observation symbols or probability generators at level i.Every level i of the LHMM consists of Ki HMMs running in parallel.

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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 N levels of HMMs, where the HMMs on level i + 1 correspond to observation symbols or probability generators at level i.Every level i of the LHMM consists of Ki HMMs running in parallel. (en)
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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 N levels of HMMs, where the HMMs on level i + 1 correspond to observation symbols or probability generators at level i.Every level i of the LHMM consists of Ki HMMs running in parallel. (en)
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  • Layered hidden Markov model (en)
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