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Algorithms for Hidden Markov Models Restricted to Occurrences of Regular Expressions

Hidden Markov Models (HMMs) are widely used probabilistic models, particularly for annotating sequential data with an underlying hidden structure. Patterns in the annotation are often more relevant to study than the hidden structure itself. A typical HMM analysis consists of annotating the observed...

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Detalhes bibliográficos
Main Authors: Tataru, Paula, Sand, Andreas, Hobolth, Asger, Mailund, Thomas, Pedersen, Christian N. S.
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI 2013
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC4009796/
https://ncbi.nlm.nih.gov/pubmed/24833225
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/biology2041282
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