Learning Residual Finite-State Automata Using Observation Tables
FOS: Computer and information sciences
Formal Languages and Automata Theory (cs.FL)
Electronic computers. Computer science
QA1-939
Computer Science - Formal Languages and Automata Theory
QA75.5-76.95
0102 computer and information sciences
01 natural sciences
Mathematics
DOI:
10.4204/eptcs.31.23
Publication Date:
2010-08-06T20:48:33Z
AUTHORS (1)
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.<br/>In Proceedings DCFS 2010, arXiv:1008.1270<br/>
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