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.
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| - Modelo jerárquico oculto de Markov (es)
- Hierarchical hidden Markov model (en)
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| - Un modelo jerárquico oculto de Markov (HHMM) es un modelo estadístico derivado del modelo oculto de Markov (HMM). En un HHMM cada estado se considera que es un modelo probabilístico auto-contenido. Dicho en otras palabras, cada estado del HHMM es en sí mismo un HHMM. HHMMs y HMM son útiles en muchos campos, incluyendo el reconocimiento de patrones (es)
- 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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| - Un modelo jerárquico oculto de Markov (HHMM) es un modelo estadístico derivado del modelo oculto de Markov (HMM). En un HHMM cada estado se considera que es un modelo probabilístico auto-contenido. Dicho en otras palabras, cada estado del HHMM es en sí mismo un HHMM. HHMMs y HMM son útiles en muchos campos, incluyendo el reconocimiento de patrones (es)
- 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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