Algorithms for Hidden Markov Models Restricted to Occurrences of Regular Expressions

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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Bibliographic Details
Main Authors: Thomas Mailund, Christian N. S. Pedersen, Paula Tataru, Andreas Sand, Asger Hobolth
Format: Article
Language:English
Published: MDPI AG 2013-11-01
Series:Biology
Subjects:
Hidden Markov Model
decoding
Viterbi
forward
algorithm
Online Access:http://www.mdpi.com/2079-7737/2/4/1282

Internet

http://www.mdpi.com/2079-7737/2/4/1282

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