Grammatical inference : 4th International Colloquium, ICGI-98, Ames, Iowa, USA, July 12 14, 1998 : proceedings

This book constitutes the refereed proceedings of the Fourth International Colloquium on Grammatical Inference, ICGI-98, held in Ames, Iowa, in July 1998. The 23 revised full papers were carefully reviewed and selected for inclusion in the book from a total of 35 submissions. The book addresses a wi...

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Bibliografski detalji
Autor kompanije: International Colloquium on Grammatical Inference :Arnes, Iowa
Daljnji autori: Honavar, Vasant (Voditelj izdanja), Slutzki, Giora (Voditelj izdanja)
Format: Livre numérique
Jezik:Anglais
Izdano: Berlin [etc.] : Springer [20..].
Cham : Springer Nature
Serija:Lecture notes in computer science. Lecture notes in artificial intelligence 1433
Teme:
Online pristup:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
Bilješka: 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, Texte imprimé, 9783540647768
• Grammatical Inference, Texte imprimé, 9783662200049
Sadržaj:
  • Results of the Abbadingo one DFA learning competition and a new evidence-driven state merging algorithm
  • Learning k-variable pattern languages efficiently stochastically finite on average from positive data
  • Meaning helps learning syntax
  • A polynomial time incremental algorithm for learning DFA
  • The data driven approach applied to the OSTIA algorithm
  • Grammar model and grammar induction in the system NL PAGE
  • Approximate learning of random subsequential transducers
  • Learning stochastic finite automata from experts
  • Learning a deterministic finite automaton with a recurrent neural network
  • Applying grammatical inference in learning a language model for oral dialogue
  • Real language learning
  • A stochastic search approach to grammar induction
  • Transducer-learning experiments on language understanding
  • Locally threshold testable languages in strict sense: Application to the inference problem
  • Learning a subclass of linear languages from positive structural information
  • Grammatical inference in document recognition
  • Stochastic inference of regular tree languages
  • How considering incompatible state mergings may reduce the DFA induction search tree
  • Learning regular grammars to model musical style: Comparing different coding schemes
  • Learning a subclass of context-free languages
  • Using symbol clustering to improve probabilistic automaton inference
  • A performance evaluation of automatic survey classifiers
  • Pattern discovery in biosequences.