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04311nam a2200577 4500 |
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|a 9783540452577
|9 978-3-540-45257-7
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|a 10.1007/b75249
|2 doi
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|d GrThAP
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|a QA76.7-76.73
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|a 005.13
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|a Grammatical Inference: Algorithms and Applications
|h [electronic resource] :
|b 5th International Colloquium, ICGI 2000, Lisbon, Portugal, September 11-13, 2000 Proceedings /
|c edited by Arlindo L. Oliveira.
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|a 1st ed. 2000.
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 2000.
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|a VIII, 316 p.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
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|a text file
|b PDF
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|a Lecture Notes in Artificial Intelligence ;
|v 1891
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|a 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.
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|a Programming languages (Electronic computers).
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|a Pattern recognition.
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|a Artificial intelligence.
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|a Mathematical logic.
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|a Algorithms.
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|a Programming Languages, Compilers, Interpreters.
|0 http://scigraph.springernature.com/things/product-market-codes/I14037
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|a Pattern Recognition.
|0 http://scigraph.springernature.com/things/product-market-codes/I2203X
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|a Artificial Intelligence.
|0 http://scigraph.springernature.com/things/product-market-codes/I21000
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650 |
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|a Mathematical Logic and Formal Languages.
|0 http://scigraph.springernature.com/things/product-market-codes/I16048
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650 |
2 |
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|a Algorithm Analysis and Problem Complexity.
|0 http://scigraph.springernature.com/things/product-market-codes/I16021
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700 |
1 |
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|a Oliveira, Arlindo L.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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710 |
2 |
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|a SpringerLink (Online service)
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773 |
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|t Springer eBooks
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776 |
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|i Printed edition:
|z 9783662197219
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776 |
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|i Printed edition:
|z 9783540410119
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830 |
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|a Lecture Notes in Artificial Intelligence ;
|v 1891
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856 |
4 |
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|u https://doi.org/10.1007/b75249
|z Full Text via HEAL-Link
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912 |
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|a ZDB-2-SCS
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|a ZDB-2-LNC
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912 |
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|a ZDB-2-BAE
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950 |
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|a Computer Science (Springer-11645)
|