Grammatical Inference: Algorithms and Applications 8th International
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Subseries of Lecture Notes in Computer Science
4201
Yasubumi Sakakibara Satoshi Kobayashi Kengo Sato Tetsuro Nishino Etsuji Tomita (Eds.)
Grammatical Inference: Algorithms and Applications 8th International Colloquium, ICGI 2006 Tokyo, Japan, September 20-22, 2006 Proceedings
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Series Editors Jaime G. Carbonell, Carnegie Mellon University, Pittsburgh, PA, USA Jörg Siekmann, University of Saarland, Saarbrücken, Germany Volume Editors Yasubumi Sakakibara Keio University, Yokohama, Japan E-mail: [email protected] Satoshi Kobayashi University of Electro-Communications, Tokyo, Japan E-mail: [email protected] Kengo Sato National Institute of Advanced Industrial Science and Technology, Tokyo, Japan E-mail: [email protected] Tetsuro Nishino University of Electro-Communications, Tokyo, Japan E-mail: [email protected] Etsuji Tomita University of Electro-Communications, Tokyo, Japan E-mail: [email protected]
Library of Congress Control Number: 2006932583
CR Subject Classification (1998): I.2, F.4, F.3 LNCS Sublibrary: SL 7 – Artificial Intelligence ISSN ISBN-10 ISBN-13
0302-9743 3-540-45264-8 Springer Berlin Heidelberg New York 978-3-540-45264-5 Springer Berlin Heidelberg New York
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Preface
The 8th International Colloquium on Grammatical Inference (ICGI 2006) was held at the University of Electro-Communications (UEC), Tokyo, Japan on September 20-22, 2006. ICGI 2006 was the eighth in a series of successful biennial international conferences in the area of grammatical inference. Previous meetings were held in Essex, UK; Alicante, Spain; Montpellier, France; Ames, Iowa, USA; Lisbon, Portugal; Amsterdam, Netherlands; Athens, Greece. ICGI 2006 was the first conference in this series to be held in Asia. This series of conferences seeks to provide a forum for presentation and discussion of original research papers on all aspects of grammatical inference. Grammatical inference, the study of learning grammars from data, is an established research field in artificial intelligence, dating back to the 1960s and has been extensively addressed by researchers in automata theory, language acquisition, computational linguistics, machine learning, pattern recogniti
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