Maintaining regularity and generalizationin data using the minimum description length principle and genetic algorithm: case of grammatical inference

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Maintaining regularity and generalizationin data using the minimum description length principle and genetic algorithm: case of grammatical inference

In this paper, a genetic algorithm with minimum description length (GAWMDL) is proposed for grammatical inference. The primary challenge of identifying a language of infinite cardinality from a finite set of examples should know when to generalize and specialize the training data. The minimum descri...

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Bibliographic Details
Main Authors:	Pandey, Hari Mohan, Chaudhary, Ankit, Mehrotra, Deepti, Kendall, Graham
Format:	Article
Published:	Elsevier 2016
Subjects:	Bit-masking oriented data structure Context free grammar Genetic Algorithm Grammar induction Learning algorithm Minimum description length principle
Online Access:	https://eprints.nottingham.ac.uk/49535/

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