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Grammatical-Restrained Hidden Conditional Random Fields for Bioinformatics applications
BACKGROUND: Discriminative models are designed to naturally address classification tasks. However, some applications require the inclusion of grammar rules, and in these cases generative models, such as Hidden Markov Models (HMMs) and Stochastic Grammars, are routinely applied. RESULTS: We introduce...
| Autores principales: | , , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2009
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2776008/ https://www.ncbi.nlm.nih.gov/pubmed/19849839 http://dx.doi.org/10.1186/1748-7188-4-13 |