Learning Picture Languages Using Dimensional Reduction
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F23%3A10477026" target="_blank" >RIV/00216208:11320/23:10477026 - isvavai.cz</a>
Result on the web
<a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=lXccYpSkil" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=lXccYpSkil</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.4114/intartif.vol26iss71pp59-74" target="_blank" >10.4114/intartif.vol26iss71pp59-74</a>
Alternative languages
Result language
angličtina
Original language name
Learning Picture Languages Using Dimensional Reduction
Original language 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.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Inteligencia Artificial
ISSN
1988-3064
e-ISSN
1988-3064
Volume of the periodical
26
Issue of the periodical within the volume
71
Country of publishing house
ES - SPAIN
Number of pages
16
Pages from-to
59-74
UT code for WoS article
000984251300001
EID of the result in the Scopus database
2-s2.0-85159680544