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Acta Informatica

, 48:165 | Cite as

MAT learners for tree series: an abstract data type and two realizations

  • Frank DrewesEmail author
  • Johanna Högberg
  • Andreas Maletti
Original Article

Abstract

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.

Keywords

Tree Series Tree Automaton Tree Transducer Abstract Data Type Dead State 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag 2011

Authors and Affiliations

  • Frank Drewes
    • 1
    Email author
  • Johanna Högberg
    • 1
  • Andreas Maletti
    • 2
  1. 1.Department of Computing ScienceUmeå UniversityUmeåSweden
  2. 2.Departament de Filologies RomàniquesUniversitat Rovira i VirgiliTarragonaSpain

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