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New decoding algorithms for Hidden Markov Models using distance measures on labellings
BACKGROUND: Existing hidden Markov model decoding algorithms do not focus on approximately identifying the sequence feature boundaries. RESULTS: We give a set of algorithms to compute the conditional probability of all labellings "near" a reference labelling λ for a sequence y for a variet...
| Autores principales: | , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2010
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3009513/ https://www.ncbi.nlm.nih.gov/pubmed/20122214 http://dx.doi.org/10.1186/1471-2105-11-S1-S40 |