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Decoding HMMs using the k best paths: algorithms and applications
BACKGROUND: Traditional algorithms for hidden Markov model decoding seek to maximize either the probability of a state path or the number of positions of a sequence assigned to the correct state. These algorithms provide only a single answer and in practice do not produce good results. RESULTS: We e...
| Autores principales: | , |
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| Formato: | Texto |
| Lenguaje: | English |
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BioMed Central
2010
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3009499/ https://www.ncbi.nlm.nih.gov/pubmed/20122200 http://dx.doi.org/10.1186/1471-2105-11-S1-S28 |