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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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Ngā kaituhi matua: Thomas Mailund, Christian N. S. Pedersen, Paula Tataru, Andreas Sand, Asger Hobolth
Hōputu: Artigo
Reo:Inglês
I whakaputaina: MDPI AG 2013-11-01
Rangatū:Biology
Ngā marau:
Urunga tuihono:http://www.mdpi.com/2079-7737/2/4/1282
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