A new method for inferring hidden markov models from noisy time sequences.

We present a new method for inferring hidden Markov models from noisy time sequences without the necessity of assuming a model architecture, thus allowing for the detection of degenerate states. This is based on the statistical prediction techniques developed by Crutchfield et al. and generates so c...

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Bibliographic Details
Main Authors: David Kelly, Mark Dillingham, Andrew Hudson, Karoline Wiesner
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2012-01-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/22247783/?tool=EBI