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- W3148449407 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." @default.
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- W3148449407 date "2010-08-07" @default.
- W3148449407 modified "2023-10-16" @default.
- W3148449407 title "Learning Residual Finite-State Automata Using Observation Tables" @default.
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- W3148449407 doi "https://doi.org/10.4204/eptcs.31.23" @default.
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