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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Detalles Bibliográficos
Autores principales: Tataru, Paula, Sand, Andreas, Hobolth, Asger, Mailund, Thomas, Pedersen, Christian N. S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2013
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4009796/
https://www.ncbi.nlm.nih.gov/pubmed/24833225
http://dx.doi.org/10.3390/biology2041282

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4009796/
https://www.ncbi.nlm.nih.gov/pubmed/24833225
http://dx.doi.org/10.3390/biology2041282

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