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Running FCRPNI in Efficient Time for Piecewise and Right Piecewise Testable Languages

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Grammatical Inference: Algorithms and Applications (ICGI 2004)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3264))

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Abstract

The scheme of the inference algorithm known as FCRPNI is applied to the inference of Piecewise Testable Languages and Right Piecewise Testable Languages. We propose efficient algorithms to decide where an automaton contains the forbidden patterns corresponding to those varieties of languages. We also present the results of the experiments done to compare the performance of the FCRPNI and RPNI algorithms for those varieties.

Work partially supported by Ministerio de Ciencia y Tecnología under project TIC2003-09319-C03-02.

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References

  1. Cano, A., Ruíz, J., García, P.: Inferring subclasses of regular languages faster using RPNI and forbidden configurations. In: Adriaans, P.W., Fernau, H., van Zaanen, M. (eds.) ICGI 2002. LNCS (LNAI), vol. 2484, pp. 28–36. Springer, Heidelberg (2002)

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© 2004 Springer-Verlag Berlin Heidelberg

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Cano, A., Ruiz, J., García, P. (2004). Running FCRPNI in Efficient Time for Piecewise and Right Piecewise Testable Languages. In: Paliouras, G., Sakakibara, Y. (eds) Grammatical Inference: Algorithms and Applications. ICGI 2004. Lecture Notes in Computer Science(), vol 3264. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30195-0_25

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  • DOI: https://doi.org/10.1007/978-3-540-30195-0_25

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23410-4

  • Online ISBN: 978-3-540-30195-0

  • eBook Packages: Springer Book Archive

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