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Satoshi Kobayashi

Mathematical Foundations of Learning Theory

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Recent Advances in Formal Languages and Applications

Part of the book series: Studies in Computational Intelligence ((SCI,volume 25))

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References

  1. D. Angluin. Inductive Inference of Formal Languages From Positive Data, Information and Control, 45 (1980), 117-135.

    Article  MATH  MathSciNet  Google Scholar 

  2. D. Angluin. Inference of Reversible Languages, Journal of the ACM, 29 (1982), 741-765.

    Article  MATH  MathSciNet  Google Scholar 

  3. S. Arikawa, T. Shinohara and A. Yamamoto. Learning Elementary Formal Sys- tems, Theoretical Computer Science, 95 (1992), 97-113.

    Article  MATH  MathSciNet  Google Scholar 

  4. J. Case and C. Smith. Anomaly Hierarchies of Mechanized Inductive Inference, Proc. of STOC, 1978, 314-319.

    Google Scholar 

  5. E. Mark Gold. Language Identification in the Limit. Information and Control, 10 (1967),447-474.

    Article  MATH  Google Scholar 

  6. C. Higuera, J. Oncina. Inferring Deterministic Linear Languages. Proc. of COLT’02, 2002, 185-200.

    Google Scholar 

  7. M. Kanazawa. Identification in the Limit of Categorial Grammars. Journal of Logic, Language and Information, 5, 2 (1996), 115-155.

    Article  MATH  MathSciNet  Google Scholar 

  8. S. Kobayashi and T. Yokomori. Learning Approximately Regular Languages with Reversible Languages, Theor. Comput. Sci. 174, 1-2 (1997), 251-257.

    Article  MATH  MathSciNet  Google Scholar 

  9. S. Kobayashi and T.Yokomori. On Approximately Identifying Concept Classes in the Limit. Proc. of 6th International Workshop on Algorithmic Learning Theory, (Lecture Notes in Artificial Intelligence 997), Springer-Verlag, 1995, 298-312.

    Google Scholar 

  10. T. Motoki, T. Shinohara and K. Wright. The Correct Definition of Finite Elasticity: Corrigendum to Identification of Unions. Proc. of 4th Workshop on Computational Learning Theory, 1991, 375-375.

    Google Scholar 

  11. Y. Mukouchi. Inductive Inference of an Approximate Concept from Positive Data. Proc. of 5th International Workshop on Algorithmic Learning Theory, Lecture Notes in Artificial Intelligence 872, Springer-Verlag, Berlin, 1994, 484-499.

    Google Scholar 

  12. J. Oncina and P. Garcia. Inferring Regular Languages in Polynomial Update Time, Pattern Recognition and Image Analysis, World Scientific, 1991, 49-61.

    Google Scholar 

  13. Y. Sakakibara. Learning Context-Free Grammars from Structural Data in Polynomial Time, Theor. Comput. Sci., 76, 2-3 (1990), 223-242.

    Article  MATH  MathSciNet  Google Scholar 

  14. Y. Sakakibara and M Kondo. GA-based Learning of Context-Free Grammars using Tabular Representations. Proc. of International Conference on Machine Learning’99, 1999, 354-360.

    Google Scholar 

  15. M. Sato and K. Umayahara. Inductive Inferability for Formal Languages from Positive Data. IEICE Trans. Inf. & Syst., E75-D, 4 (1992), 415-419.

    Google Scholar 

  16. M. Sato and T. Moriyama. Inductive Inference of Length Bounded EFS’s from Positive Data. DMSIS-RR-94-2, Department of Mathematical Sciences and Information Sciences, Univ. of Osaka Pref., Japan, April 1994

    Google Scholar 

  17. M. Sato. Inductive Inference of Formal Languages. Bulletin of Informatics and Cybernetics, 27, 1 (1995).

    MathSciNet  Google Scholar 

  18. T. Shinohara. Rich Classes Inferable from Positive Data : Length Bounded Elementary Formal Systems. Information and Computation, 108 (1994), 175-186.

    Article  MATH  MathSciNet  Google Scholar 

  19. R. M. Smullyan. Theory of Formal Systems. Princeton Univ. Press, 1961.

    Google Scholar 

  20. K. Wright. Identification of Unions of Languages Drawn from an Identifiable Class. Proc. of 2nd Workshop on Computational Learning Theory, 1989, 328-333.

    Google Scholar 

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(2006). Satoshi Kobayashi. In: Esik, Z., Martín-Vide, C., Mitrana, V. (eds) Recent Advances in Formal Languages and Applications. Studies in Computational Intelligence, vol 25. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-33461-3_8

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  • DOI: https://doi.org/10.1007/978-3-540-33461-3_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-33460-6

  • Online ISBN: 978-3-540-33461-3

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