Learning Residual Finite-State Automata Using Observation Tables
Autor: | Kasprzik, Anna |
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Rok vydání: | 2010 |
Předmět: | |
Zdroj: | EPTCS 31, 2010, pp. 205-212 |
Druh dokumentu: | Working Paper |
DOI: | 10.4204/EPTCS.31.23 |
Popis: | 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. Comment: In Proceedings DCFS 2010, arXiv:1008.1270 |
Databáze: | arXiv |
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