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Grammatical Inference: Algorithms and Applications

5th International Colloquium, ICGI 2000, Lisbon, Portugal, September 11-13, 2000 Proceedings

  • Conference proceedings
  • © 2000

Overview

Editors:
  1. Arlindo L. Oliveira

    1. INESC-ID/IST, Lisboa, Portugal

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 1891)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

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Table of contents (24 papers)

  1. Front Matter

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  2. Inference of Finite-State Transducers by Using Regular Grammars and Morphisms

    • Francisco Casacuberta
    Pages 1-14

  3. Computational Complexity of Problems on Probabilistic Grammars and Transducers

    • Francisco Casacuberta, Colin de la Higuera
    Pages 15-24

  4. Efficient Ambiguity Detection in C-NFA

    • François Coste, Daniel Fredouille
    Pages 25-38

  5. Learning Regular Languages Using Non Deterministic Finite Automata

    • François Denis, Aurélien Lemay, Alain Terlutte
    Pages 39-50

  6. Smoothing Probabilistic Automata: An Error-Correcting Approach

    • Pierre Dupont, Juan-Carlos Amengual
    Pages 51-64

  7. Inferring Subclasses of Contextual Languages

    • J. D. Emerald, K. G. Subramanian, D. G. Thomas
    Pages 65-74

  8. Permutations and Control Sets for Learning Non-regular Language Families

    • Henning Fernau, José M. Sempere
    Pages 75-88

  9. On the Complexity of Consistent Identification of Some Classes of Structure Languages

    • Christophe Costa Florêncio
    Pages 89-102

  10. Computation of Substring Probabilities in Stochastic Grammars

    • Ana L. N. Fred
    Pages 103-114

  11. A Comparative Study of Two Algorithms for Automata Identification

    • P. García, A. Cano, J. Ruiz
    Pages 115-126

  12. The Induction of Temporal Grammatical Rules from Multivariate Time Series

    • G. Guimarães
    Pages 127-140

  13. Identification in the Limit with Probability One of Stochastic Deterministic Finite Automata

    • Colin de la Higuera, Franck Thollard
    Pages 141-156

  14. Iterated Transductions and Efficient Learning from Positive Data: A Unifying View

    • Satoshi Kobayashi
    Pages 157-170

  15. An Inverse Limit of Context-Free Grammars – A New Approach to Identifiability in the Limit

    • Pavel Martinek
    Pages 171-185

  16. Synthesizing Context Free Grammars from Sample Strings Based on Inductive CYK Algorithm

    • Katsuhiko Nakamura, Takashi Ishiwata
    Pages 186-195

  17. Combination of Estimation Algorithms and Grammatical Inference Techniques to Learn Stochastic Context-Free Grammars

    • Francisco Nevado, Joan-Andreu Sánchez, José-Miguel Benedí
    Pages 196-206

  18. On the Relationship between Models for Learning in Helpful Environments

    • Rajesh Parekh, Vasant Honavar
    Pages 207-220

  19. Probabilistic k-Testable Tree Languages

    • Juan Ramón Rico-Juan, Jorge Calera-Rubio, Rafael C. Carrasco
    Pages 221-228

  20. Learning Context-Free Grammars from Partially Structured Examples

    • Yasubumi Sakakibara, Hidenori Muramatsu
    Pages 229-240
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Editors and Affiliations

  • INESC-ID/IST, Lisboa, Portugal

    Arlindo L. Oliveira

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