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Grammatical Inference: 4th International Colloquium, ICGI-98, Ames, Iowa, USA, July 12-14, 1998, Proceedings (Lecture Notes in Computer Science) [Paperback]

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Item description for Grammatical Inference: 4th International Colloquium, ICGI-98, Ames, Iowa, USA, July 12-14, 1998, Proceedings (Lecture Notes in Computer Science) by Vasant Honavar...

This book constitutes the refereed proceedings of the Fourth International Colloquium on Grammatical Inference, ICGI-98, held in Ames, Iowa, in July 1998.
The 23 revised full papers were carefully reviewed and selected for inclusion in the book from a total of 35 submissions. The book addresses a wide range of grammatical inference theory such as automata induction, grammar induction, automatic language acquisition, etc. as well as a variety of applications in areas like syntactic pattern recognition, adaptive intelligent agents, diagnosis, computational biology, data mining, and knowledge discovery.



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Item Specifications...


Pages   271
Est. Packaging Dimensions:   Length: 9.1" Width: 6.1" Height: 0.6"
Weight:   0.85 lbs.
Binding  Softcover
Release Date   Aug 13, 1998
Publisher   Springer
ISBN  3540647767  
ISBN13  9783540647768  


Availability  57 units.
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More About Vasant Honavar


Register your artisan biography and upload your photo! Vasant Honavar is Associate Professor of Computer Science, Bioinformatics and Computational Biology, and Neuroscience and Director of the Artificial Intelligence Research Laboratory at Iowa State University.

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Reviews - What do customers think about Grammatical Inference: 4th International Colloquium, ICGI-98, Ames, Iowa, USA, July 12-14, 1998, Proceedings (Lecture Notes in Computer Science)?

A nice collection of articles on grammatical inference  Dec 31, 2000
This book is a collection of papers that were presented at the 1998 International Colloquium on Grammatical Inference. Grammatical inference is a subfield of machine learning, inductive inference, and pattern classification. Applications of grammatical inference include speech recognition and speech production, computational molecular biology, information extraction, and music composition, among others. The articles included in the book are representative of some of the best current work in grammatical inference. I enthusiastically recommend the book to anyone interested in learning about the current advances in this subfield of machine learning.
 

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