RNA modeling by combining stochastic context-free grammars and n-gram models

International Journal of Pattern Recognition and Artificial Intelligence

Volumn 16, Issue 3, 2002, Pages 309-315

  Salvador, Ismael ^a   Benedí, José Miguel ^a  

^a UNIVERSITAT POLITÈCNICA DE VALÈNCIA   (Spain)

Author keywords

Grammatical inference; Language modeling; RNA; Stochastic context free grammars; Syntactic pattern recognition

Indexed keywords

ALGORITHMS; CONTEXT FREE GRAMMARS; MATHEMATICAL MODELS; NUCLEIC ACID SEQUENCES; RANDOM PROCESSES; RNA; SYNTACTICS;

BIGRAM MODELS;

PATTERN RECOGNITION;

EID: 0036565287     PISSN: 02180014     EISSN: None     Source Type: Journal    
DOI: 10.1142/S0218001402001691     Document Type: Conference Paper

References (8)

1. A maximum likelihood approach to continuous speech recognition
2. Hidden Markov models in computational biology: Applications to protein modeling
3. Combination of estimation algorithms and grammatical inference techniques to learn stochastic context-free gammars
4. Efficient learning of context-free grammars from positive structural examples
5. Learning of stochastic context-free grammars by means of estimation algorithms
6. The linguistics of DNA