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MAT Learning of Universal Automata
Umeå University, Faculty of Science and Technology, Department of Computing Science. (Formal and Natural Languages)
Trier University.
Trier University.
2013 (English)In: Language and Automata Theory and Applications: 7th International Conference, LATA 2013, Bilbao, Spain, April 2-5, 2013. Proceedings / [ed] Adrian-Horia Dediu, Carlos Martín-Vide, Bianca Truthe, Springer Berlin/Heidelberg, 2013, 141-152 p.Conference paper, Published paper (Refereed)
Abstract [en]

A MAT learning algorithm is presented that infers the universal automaton (UA) for a regular target language, using a polynomial number of queries with respect to that automaton. The UA is one of several canonical characterizations for regular languages. Our learner is based on the concept of an observation table, which seems to be particularly fitting for this computational model, and the necessary notions and definitions are adapted from the literature to the case of UA.

Place, publisher, year, edition, pages
Springer Berlin/Heidelberg, 2013. 141-152 p.
Series
Lecture Notes in Computer Science, ISSN 0302-9743 ; 7810
Keyword [en]
MAT learning, Universal automata, active learning
National Category
Computer and Information Science
Research subject
Computing Science
Identifiers
URN: urn:nbn:se:umu:diva-80729DOI: 10.1007/978-3-642-37064-9_14ISBN: 978-3-642-37063-2 (print)ISBN: 978-3-642-37064-9 (print)OAI: oai:DiVA.org:umu-80729DiVA: diva2:651272
Conference
7th International Conference on Language and Automata Theory and Applications, LATA 2013, 2 April 2013 through 5 April 2013, Bilbao
Funder
Swedish Research CouncilVinnova
Available from: 2013-09-25 Created: 2013-09-25 Last updated: 2013-11-21Bibliographically approved

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Björklund, Johanna

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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  • vancouver
  • Other style
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Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
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  • asciidoc
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