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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Hlavní autor: Miclet, Laurent, 19..-...., professeur d'informatique
Korporativní autor: International Colloquium on Grammatical Inference (Autor)
Další autoři: La Higuera, Colin de, 19..- (Šéfredaktor, odpovědný redaktor)
Médium: Livre numérique
Jazyk:Anglais
Vydáno: Berlin [etc.] : Springer [20..].
Cham : Springer Nature
Edice:Lecture notes in computer science. Lecture notes in artificial intelligence 1147
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Poznámka: Archives Springer e-books (Licence nationale)
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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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Shrnutí: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 selected for presentation at the conference. The papers are organized in sections on algebraic methods and algorithms, natural language and pattern recognition, inference and stochastic models, incremental methods and inductive logic programming, and operational issues.
Popis jednotky:Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
ISBN:9783540706786 (PDF)
ISSN:1611-3349
2945-9141
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