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Query Learning of Regular Tree Languages: How to Avoid Dead States

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Abstract

We generalize an inference algorithm by Angluin, that learns a regular string language from a "minimally adequate teacher", to regular tree languages. The (deterministic bottom-up) finite tree automaton constructed by the learning algorithm is the minimal partial one recognizing the unknown language. This improves a similar algorithm proposed by Sakakibara by avoiding dead states both in the resulting automaton and the learning phase, which also leads to a considerable improvement with respect to efficiency.

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Correspondence to Frank Drewes or Johanna Högberg.

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Drewes, F., Högberg, J. Query Learning of Regular Tree Languages: How to Avoid Dead States. Theory Comput Syst 40, 163–185 (2007). https://doi.org/10.1007/s00224-005-1233-3

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  • DOI: https://doi.org/10.1007/s00224-005-1233-3

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