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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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| Hauptverfasser: | , , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
MDPI
2013
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| Schlagworte: | |
| Online Zugang: | 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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