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MAT learners for tree series: an abstract data type and two realizations
Umeå University, Faculty of Science and Technology, Department of Computing Science. (Natural and Formal Languages)
Umeå University, Faculty of Science and Technology, Department of Computing Science. (Natural and Formal Languages)
2011 (English)In: Acta Informatica, ISSN 0001-5903, E-ISSN 1432-0525, Vol. 48, no 3, 165-189 p.Article in journal (Refereed) Published
Abstract [en]

We propose abstract observation tables, an abstract data type for learning deterministic weighted tree automata in Angluin’s minimal adequate teacher (MAT) model, and show that every correct implementation of abstract observation tables yields a correct MAT learner. Besides the “classical” observation table, we show that abstract observation tables can also be implemented by observation trees. The advantage of the latter is that they often require fewer queries to the teacher.

Place, publisher, year, edition, pages
Springer , 2011. Vol. 48, no 3, 165-189 p.
Keyword [en]
automata; equivalence; queries
National Category
Computer Science
Research subject
Computer Science; datorlingvistik
Identifiers
URN: urn:nbn:se:umu:diva-40568DOI: 10.1007/s00236-011-0135-xOAI: oai:DiVA.org:umu-40568DiVA: diva2:400910
Available from: 2011-02-28 Created: 2011-02-28 Last updated: 2017-12-11Bibliographically approved

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Drewes, FrankHögberg, Johanna

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