Grammatical Inference: Learning Syntax from Sentences
Third International Colloquium, ICGI-96, Montpellier, France, September 25 - 27, 1996. Proceedings
Mitarbeit:Miclet, Laurent; Higuera, Colin de la
Grammatical Inference: Learning Syntax from Sentences
Third International Colloquium, ICGI-96, Montpellier, France, September 25 - 27, 1996. Proceedings
Mitarbeit:Miclet, Laurent; Higuera, Colin de la
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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.
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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.
- Produktdetails
- Lecture Notes in Computer Science 1147
- Verlag: Springer / Springer Berlin Heidelberg / Springer, Berlin
- Artikelnr. des Verlages: 978-3-540-61778-5
- 1996.
- Seitenzahl: 344
- Erscheinungstermin: 16. September 1996
- Englisch
- Abmessung: 235mm x 155mm x 19mm
- Gewicht: 446g
- ISBN-13: 9783540617785
- ISBN-10: 3540617787
- Artikelnr.: 09252280
- Lecture Notes in Computer Science 1147
- Verlag: Springer / Springer Berlin Heidelberg / Springer, Berlin
- Artikelnr. des Verlages: 978-3-540-61778-5
- 1996.
- Seitenzahl: 344
- Erscheinungstermin: 16. September 1996
- Englisch
- Abmessung: 235mm x 155mm x 19mm
- Gewicht: 446g
- ISBN-13: 9783540617785
- ISBN-10: 3540617787
- Artikelnr.: 09252280