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Grammatical Inference: Algorithms and Applications : 5th International Colloquium, ICGI 2000, Lisbon, Portugal, September 11-13, 2000 Proceedings / edited by Arlindo L. Oliveira.

SpringerLink Books Lecture Notes In Computer Science (LNCS) (1997-2024) Available online

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Format:
Book
Contributor:
Oliveira, Arlindo L., editor.
SpringerLink (Online service)
Series:
Computer Science (Springer-11645)
Lecture notes in computer science. Lecture notes in artificial intelligence ; 1891.
Lecture Notes in Artificial Intelligence ; 1891
Language:
English
Subjects (All):
Programming languages (Electronic computers).
Pattern perception.
Artificial intelligence.
Logic, Symbolic and mathematical.
Algorithms.
Programming Languages, Compilers, Interpreters.
Pattern Recognition.
Artificial Intelligence.
Mathematical Logic and Formal Languages.
Algorithm Analysis and Problem Complexity.
Local Subjects:
Programming Languages, Compilers, Interpreters.
Pattern Recognition.
Artificial Intelligence.
Mathematical Logic and Formal Languages.
Algorithm Analysis and Problem Complexity.
Physical Description:
1 online resource (VIII, 316 pages).
Edition:
First edition 2000.
Contained In:
Springer eBooks
Place of Publication:
Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2000.
System Details:
text file PDF
Contents:
Inference of Finite-State Transducers by Using Regular Grammars and Morphisms
Computational Complexity of Problems on Probabilistic Grammars and Transducers
Efficient Ambiguity Detection in C-NFA
Learning Regular Languages Using Non Deterministic Finite Automata
Smoothing Probabilistic Automata: An Error-Correcting Approach
Inferring Subclasses of Contextual Languages
Permutations and Control Sets for Learning Non-regular Language Families
On the Complexity of Consistent Identification of Some Classes of Structure Languages
Computation of Substring Probabilities in Stochastic Grammars
A Comparative Study of Two Algorithms for Automata Identification
The Induction of Temporal Grammatical Rules from Multivariate Time Series
Identification in the Limit with Probability One of Stochastic Deterministic Finite Automata
Iterated Transductions and Efficient Learning from Positive Data: A Unifying View
An Inverse Limit of Context-Free Grammars - A New Approach to Identifiability in the Limit
Synthesizing Context Free Grammars from Sample Strings Based on Inductive CYK Algorithm
Combination of Estimation Algorithms and Grammatical Inference Techniques to Learn Stochastic Context-Free Grammars
On the Relationship between Models for Learning in Helpful Environments
Probabilistic k-Testable Tree Languages
Learning Context-Free Grammars from Partially Structured Examples
Identification of Tree Translation Rules from Examples
Counting Extensional Differences in BC-Learning
Constructive Learning of Context-Free Languages with a Subpansive Tree
A Polynomial Time Learning Algorithm of Simple Deterministic Languages via Membership Queries and a Representative Sample
Improve the Learning of Subsequential Transducers by Using Alignments and Dictionaries.
Other Format:
Printed edition:
ISBN:
978-3-540-45257-7
9783540452577
Access Restriction:
Restricted for use by site license.

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