Learning Picture Languages Using Dimensional Reduction

نویسندگان

چکیده

One-dimensional (string) formal languages and their learning have been studied in considerable depth. However, the knowledge of two-dimensional (picture) counterpart, which retains similar importance, is lacking. We investigate problem picture by applying methods for one-dimensional languages. formalize transcription process from a input into string propose few adaptations to it. These proposals are then tested series experiments, outcomes compared. Finally, these applied practical an automaton recognizing part MNIST dataset learned. The obtained results show improvements topic potential use automata fitting problems.

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ژورنال

عنوان ژورنال: Inteligencia artificial

سال: 2023

ISSN: ['1988-3064', '1137-3601']

DOI: https://doi.org/10.4114/intartif.vol26iss71pp59-74