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About this product
- DescriptionThe problem of inducing, learning or inferring grammars has been studied for decades, but only in recent years has grammatical inference emerged as an independent field with connections to many scientific disciplines, including bio-informatics, computational linguistics and pattern recognition. This book meets the need for a comprehensive and unified summary of the basic techniques and results, suitable for researchers working in these various areas. In Part I, the objects of use for grammatical inference are studied in detail: strings and their topology, automata and grammars, whether probabilistic or t. Part II carefully explores the main questions in the field: What does learning mean? How can we associate complexity theory with learning? In Part III the author describes a number of techniques and algorithms that allow us to learn from text, from an informant, or through interaction with the environment. These concern automata, grammars, rewriting systems, pattern languages or transducers.
- Author BiographyColin de la Higuera is Professor of Computer Science in the Laboratoire Hubert Curien at the Universite Jean Monnet de Saint-Etienne.
- Author(s)Colin de la Higuera
- PublisherCambridge University Press
- Date of Publication01/04/2010
- SubjectComputing: Textbooks & Study Guides
- Place of PublicationCambridge
- Country of PublicationUnited Kingdom
- ImprintCambridge University Press
- Content Note170 b/w illus. 25 tables 1 music example 160 exercises
- Weight900 g
- Width174 mm
- Height247 mm
- Spine26 mm
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