Learning Picture Languages Using Dimensional Reduction
One-dimensional (string) formal languages and their learning have been studied in considerable depth. However, the knowledge of their two-dimensional (picture) counterpart, which retains similar importance, is lacking. We investigate the problem of learning formal two-dimensional picture languages...
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Format: | Article |
Language: | English |
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Asociación Española para la Inteligencia Artificial
2023-04-01
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Series: | Inteligencia Artificial |
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Online Access: | https://journal.iberamia.org/index.php/intartif/article/view/1051 |
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author | David Kubon František Mráz Ivan Rychtera |
author_facet | David Kubon František Mráz Ivan Rychtera |
author_sort | David Kubon |
collection | DOAJ |
description |
One-dimensional (string) formal languages and their learning have been studied in considerable depth. However, the knowledge of their two-dimensional (picture) counterpart, which retains similar importance, is lacking. We investigate the problem of learning formal two-dimensional picture languages by applying learning methods for one-dimensional (string) languages. We formalize the transcription process from a two-dimensional input picture into a string and propose a few adaptations to it. These proposals are then tested in a series of experiments, and their outcomes are compared. Finally, these methods are applied to a practical problem and an automaton for recognizing a part of the MNIST dataset is learned. The obtained results show improvements in the topic and the potential to use the learning of automata in fitting problems.
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first_indexed | 2024-03-11T21:27:07Z |
format | Article |
id | doaj.art-a3aba76ea3264146a5baafb66d86e45d |
institution | Directory Open Access Journal |
issn | 1137-3601 1988-3064 |
language | English |
last_indexed | 2024-03-11T21:27:07Z |
publishDate | 2023-04-01 |
publisher | Asociación Española para la Inteligencia Artificial |
record_format | Article |
series | Inteligencia Artificial |
spelling | doaj.art-a3aba76ea3264146a5baafb66d86e45d2023-09-27T22:03:04ZengAsociación Española para la Inteligencia ArtificialInteligencia Artificial1137-36011988-30642023-04-01267110.4114/intartif.vol26iss71pp59-74Learning Picture Languages Using Dimensional ReductionDavid Kubon0František Mráz1Ivan Rychtera2Charles University, Czech RepublicCharles University, Czech RepublicCharles University, Czech Republic One-dimensional (string) formal languages and their learning have been studied in considerable depth. However, the knowledge of their two-dimensional (picture) counterpart, which retains similar importance, is lacking. We investigate the problem of learning formal two-dimensional picture languages by applying learning methods for one-dimensional (string) languages. We formalize the transcription process from a two-dimensional input picture into a string and propose a few adaptations to it. These proposals are then tested in a series of experiments, and their outcomes are compared. Finally, these methods are applied to a practical problem and an automaton for recognizing a part of the MNIST dataset is learned. The obtained results show improvements in the topic and the potential to use the learning of automata in fitting problems. https://journal.iberamia.org/index.php/intartif/article/view/1051LearningGrammatical inferenceAutomataFormal languagesPicture languages |
spellingShingle | David Kubon František Mráz Ivan Rychtera Learning Picture Languages Using Dimensional Reduction Inteligencia Artificial Learning Grammatical inference Automata Formal languages Picture languages |
title | Learning Picture Languages Using Dimensional Reduction |
title_full | Learning Picture Languages Using Dimensional Reduction |
title_fullStr | Learning Picture Languages Using Dimensional Reduction |
title_full_unstemmed | Learning Picture Languages Using Dimensional Reduction |
title_short | Learning Picture Languages Using Dimensional Reduction |
title_sort | learning picture languages using dimensional reduction |
topic | Learning Grammatical inference Automata Formal languages Picture languages |
url | https://journal.iberamia.org/index.php/intartif/article/view/1051 |
work_keys_str_mv | AT davidkubon learningpicturelanguagesusingdimensionalreduction AT frantisekmraz learningpicturelanguagesusingdimensionalreduction AT ivanrychtera learningpicturelanguagesusingdimensionalreduction |