- Contributing authors among leading researchers in this domain
- Valuable for researchers and graduate students in theoretical computer science, computational linguistics, bioinformatics, and cognitive psychology
- Topics of foundational interest with mature and established results, algorithms and conclusions
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- About this book
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This book explains advanced theoretical and application-related issues in grammatical inference, a research area inside the inductive inference paradigm for machine learning. The first three chapters of the book deal with issues regarding theoretical learning frameworks; the next four chapters focus on the main classes of formal languages according to Chomsky's hierarchy, in particular regular and context-free languages; and the final chapter addresses the processing of biosequences.
The topics chosen are of foundational interest with relatively mature and established results, algorithms and conclusions. The book will be of value to researchers and graduate students in areas such as theoretical computer science, machine learning, computational linguistics, bioinformatics, and cognitive psychology who are engaged with the study of learning, especially of the structure underlying the concept to be learned. Some knowledge of mathematics and theoretical computer science, including formal language theory, automata theory, formal grammars, and algorithmics, is a prerequisite for reading this book.
- Table of contents (8 chapters)
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Gold-Style Learning Theory
Pages 1-23
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Efficiency in the Identification in the Limit Learning Paradigm
Pages 25-46
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Learning Grammars and Automata with Queries
Pages 47-71
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On the Inference of Finite State Automata from Positive and Negative Data
Pages 73-112
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Learning Probability Distributions Generated by Finite-State Machines
Pages 113-142
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Table of contents (8 chapters)
- Download Preface 1 PDF (67.2 KB)
- Download Sample pages 2 PDF (249.1 KB)
- Download Table of contents PDF (181.9 KB)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- Topics in Grammatical Inference
- Editors
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- Jeffrey Heinz
- José M Sempere
- Copyright
- 2016
- Publisher
- Springer-Verlag Berlin Heidelberg
- Copyright Holder
- Springer-Verlag Berlin Heidelberg
- eBook ISBN
- 978-3-662-48395-4
- DOI
- 10.1007/978-3-662-48395-4
- Hardcover ISBN
- 978-3-662-48393-0
- Softcover ISBN
- 978-3-662-56920-7
- Edition Number
- 1
- Number of Pages
- XVII, 247
- Number of Illustrations
- 49 b/w illustrations, 7 illustrations in colour
- Topics
