Grammatical inference : learning syntax from sentences : Third International Colloquium, ICGI-96, Montpellier, France, September 25-27, 1996 : proceedings

This book constitutes the refereed proceedings of the Third International Colloquium on Grammatical Inference, ICGI-96, held in Montpellier, France, in September 1996. The 25 revised full papers contained in the book together with two invited key papers by Magerman and Knuutila were carefully select...

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Detalhes bibliográficos
Autor principal: Miclet, Laurent, 19..-...., professeur d'informatique
Autor Corporativo: International Colloquium on Grammatical Inference (Autor)
Outros Autores: La Higuera, Colin de, 19..- (Diretor de publicação)
Formato: Livre numérique
Idioma:Anglais
Publicado em: Berlin [etc.] : Springer [20..].
Cham : Springer Nature
coleção:Lecture notes in computer science. Lecture notes in artificial intelligence 1147
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Nota: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Grammatical inference, learning syntax from sentences, Third International Colloquium, ICGI-96, Montpellier, France, September 1996 proceedings, Laurent Miclet, Colin de la Higuera, eds, 1996, New York, Springer, 1 vol. (VIII-325 p.), Lecture notes in computer science, 3-540-61778-7
• Grammatical Inference: Learning Syntax from Sentences, Texte imprimé, 9783662200933
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505 0 |a Learning grammatical structure using statistical decision-trees -- Inductive inference from positive data: from heuristic to characterizing methods -- Unions of identifiable families of languages -- Characteristic sets for polynomial grammatical inference -- Query learning of subsequential transducers -- Lexical categorization: Fitting template grammars by incremental MDL optimization -- Selection criteria for word trigger pairs in language modeling -- Clustering of sequences using a minimum grammar complexity criterion -- A note on grammatical inference of slender context-free languages -- Learning linear grammars from structural information -- Learning of context-sensitive language acceptors through regular inference and constraint induction -- Inducing constraint grammars -- Introducing statistical dependencies and structural constraints in variable-length sequence models -- A disagreement count scheme for inference of constrained Markov networks -- Using knowledge to improve N-Gram language modelling through the MGGI methodology -- Discrete sequence prediction with commented Markov models -- Learning k-piecewise testable languages from positive data -- Learning code regular and code linear languages -- Incremental regular inference -- An incremental interactive algorithm for regular grammar inference -- Inductive logic programming for discrete event systems -- Stochastic simple recurrent neural networks -- Inferring stochastic regular grammars with recurrent neural networks -- Maximum mutual information and conditional maximum likelihood estimations of stochastic regular syntax-directed translation schemes -- Grammatical inference using Tabu Search -- Using domain information during the learning of a subsequential transducer -- Identification of DFA: Data-dependent versus data-independent algorithms. 
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