Abstract
In this paper, we extend the characterization of the search space of regular inference [DMV94] to sequential presentations of learning data. We propose the RPNI2 algorithm, an incremental extension of the RPNI algorithm. We study the convergence and complexities of both algorithms from a theoretical and practical point of view. These results are assessed on the Feldman task.
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© 1996 Springer-Verlag Berlin Heidelberg
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Dupont, P. (1996). Incremental regular inference. In: Miclet, L., de la Higuera, C. (eds) Grammatical Interference: Learning Syntax from Sentences. ICGI 1996. Lecture Notes in Computer Science, vol 1147. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0033357
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DOI: https://doi.org/10.1007/BFb0033357
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Print ISBN: 978-3-540-61778-5
Online ISBN: 978-3-540-70678-6
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