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...

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Detalles Bibliográficos
Autores principales: Fariselli, Piero, Savojardo, Castrense, Martelli, Pier Luigi, Casadio, Rita
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2009
Materias:
Research
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

Internet

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

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