learning residual finite-state automata using observation tables

Clicks: 145
ID: 150059
2010
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Ranked #65 of 102 articles by views in ama journal of ethics

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Abstract
We define a two-step learner for RFSAs based on an observation table by using an algorithm for minimal DFAs to build a table for the reversal of the language in question and showing that we can derive the minimal RFSA from it after some simple modifications. We compare the algorithm to two other table-based ones of which one (by Bollig et al. 2009) infers a RFSA directly, and the other is another two-step learner proposed by the author. We focus on the criterion of query complexity.
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kasprzik2010electroniclearning Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Anna Kasprzik
Journal ama journal of ethics
Year 2010
DOI
10.4204/EPTCS.31.23
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