Grammatical inference : algorithms and applications : 7th international colloquium, ICGI 2004, Athens, Greece, october 11-13, 2004 : proceedings

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Bibliografische gegevens
Coauteur: International Colloquium on Grammatical Inference :Athens, GR
Andere auteurs: Paliouras, Georgios, 1970- (Publishing director), Sakakibara, Yasubumi (Publishing director)
Formaat: Livre numérique
Taal:Anglais
Gepubliceerd in: Berlin [etc.] : Springer [20..].
Cham : Springer Nature
Reeks:Lecture notes in computer science. Lecture notes in artificial intelligence 3264
Onderwerpen:
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Accès Université d'Orléans
Accès INSA CVL
Opmerking: 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, algorithms and applications, 7th international colloquium, ICGI 2004, Athens, Greece, october 11-13, 2004, proceedings, Georgios Paliouras, Yasubumi Sakakibara (eds.), Berlin, Springer, 2004, 1 vol. (XI-289 p.), Lecture notes in computer science, 3-540-23410-1
• Grammatical Inference: Algorithms and Applications, Texte imprimé, 9783662189726
Inhoudsopgave:
  • Invited Papers
  • Learning and Mathematics
  • Learning Finite-State Models for Machine Translation
  • The Omphalos Context-Free Grammar Learning Competition
  • Regular Papers
  • Mutually Compatible and Incompatible Merges for the Search of the Smallest Consistent DFA
  • Faster Gradient Descent Training of Hidden Markov Models, Using Individual Learning Rate Adaptation
  • Learning Mild Context-Sensitiveness: Toward Understanding Children s Language Learning
  • Learnability of Pregroup Grammars
  • A Markovian Approach to the Induction of Regular String Distributions
  • Learning Node Selecting Tree Transducer from Completely Annotated Examples
  • Identifying Clusters from Positive Data
  • Introducing Domain and Typing Bias in Automata Inference
  • Analogical Equations in Sequences: Definition and Resolution
  • Representing Languages by Learnable Rewriting Systems
  • A Divide-and-Conquer Approach to Acquire Syntactic Categories
  • Grammatical Inference Using Suffix Trees
  • Learning Stochastic Finite Automata
  • Navigation Pattern Discovery Using Grammatical Inference
  • A Corpus-Driven Context-Free Approximation of Head-Driven Phrase Structure Grammar
  • Partial Learning Using Link Grammars Data
  • eg-GRIDS: Context-Free Grammatical Inference from Positive Examples Using Genetic Search
  • The Boisdale Algorithm An Induction Method for a Subclass of Unification Grammar from Positive Data
  • Learning Stochastic Deterministic Regular Languages
  • Polynomial Time Identification of Strict Deterministic Restricted One-Counter Automata in Some Class from Positive Data
  • Poster Papers
  • Learning Syntax from Function Words
  • Running FCRPNI in Efficient Time for Piecewise and Right Piecewise Testable Languages
  • Extracting Minimum Length Document Type Definitions Is NP-Hard
  • Learning DistinguishableLinear Grammars from Positive Data
  • Extending Incremental Learning of Context Free Grammars in Synapse
  • Identifying Left-Right Deterministic Linear Languages
  • Efficient Learning of k-Reversible Context-Free Grammars from Positive Structural Examples
  • An Analysis of Examples and a Search Space for PAC Learning of Simple Deterministic Languages with Membership Queries.