Signal automata and hidden Markov models

Published 4 May 2021 in cs.FL and cs.LG | (2105.01341v1)

Abstract: A generic method for inferring a dynamical hidden Markov model from a time series is proposed. Under reasonable hypothesis, the model is updated in constant time whenever a new measurement arrives.

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Authors (1)

Teodor Knapik

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