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On learning systolic languages

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Algorithmic Learning Theory (ALT 1992)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 743))

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Abstract

We study the learning problem of systolic languages from queries and counterexamples. A systolic language is specified by a systolic automaton which is a kind of network consisting of uniformly connected processors(finite automata).

In this article, we show that the class of binary systolic tree languages is learnable in polynomial time from the learning protocol what is called minimally adequate teacher.

Since the class of binary systolic tree languages properly contains the class of regular languages, the main result in this paper gives a generalization of the corresponding Angluin's result for regular languages.

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Shuji Doshita Koichi Furukawa Klaus P. Jantke Toyaki Nishida

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© 1993 Springer-Verlag Berlin Heidelberg

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Yokomori, T. (1993). On learning systolic languages. In: Doshita, S., Furukawa, K., Jantke, K.P., Nishida, T. (eds) Algorithmic Learning Theory. ALT 1992. Lecture Notes in Computer Science, vol 743. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-57369-0_26

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  • DOI: https://doi.org/10.1007/3-540-57369-0_26

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-57369-2

  • Online ISBN: 978-3-540-48093-8

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