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A linear memory algorithm for Baum-Welch training
BACKGROUND: Baum-Welch training is an expectation-maximisation algorithm for training the emission and transition probabilities of hidden Markov models in a fully automated way. It can be employed as long as a training set of annotated sequences is known, and provides a rigorous way to derive parame...
| Autores principales: | , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2005
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1262623/ https://www.ncbi.nlm.nih.gov/pubmed/16171529 http://dx.doi.org/10.1186/1471-2105-6-231 |