Signal automata and hidden Markov models
Formal Languages and Automata Theory
2021-05-05 v1 Machine Learning
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.
Keywords
Cite
@article{arxiv.2105.01341,
title = {Signal automata and hidden Markov models},
author = {Teodor Knapik},
journal= {arXiv preprint arXiv:2105.01341},
year = {2021}
}