Categorical Model Estimation with Feature Selection Using an Ant Colony Optimization
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F25%3A00640443" target="_blank" >RIV/67985556:_____/25:00640443 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21260/25:00385920
Result on the web
<a href="http://dx.doi.org/10.5220/0013705300003982" target="_blank" >http://dx.doi.org/10.5220/0013705300003982</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.5220/0013705300003982" target="_blank" >10.5220/0013705300003982</a>
Alternative languages
Result language
angličtina
Original language name
Categorical Model Estimation with Feature Selection Using an Ant Colony Optimization
Original language description
This paper deals with the analysis of high-dimensional discrete data values from questionnaires, with the aim of identifying explanatory variables that influence a target variable. We propose a hybrid algorithm that combines categorical model estimation with an ant colony optimization scheme for feature selection. The main contributions are: (i) the efficient selection of the most significant explanatory variables, and (ii) the estimation of a categorical model with reduced dimensionality. Experimental results and comparisons with well-known algorithms (e.g., random forest, categorical boosting, k-nearest neighbors) and feature selection techniques are presented.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10103 - Statistics and probability
Result continuities
Project
<a href="/en/project/9A22004" target="_blank" >9A22004: Acoustic sensor solutions integrated with digital technologies as key enablers for emerging applications fostering society 5.0</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 22nd International Conference on Informatics in Control, Automation and Robotics - ICINCO 2025
ISBN
978-989-758-770-2
ISSN
2184-2809
e-ISSN
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Number of pages
8
Pages from-to
219-226
Publisher name
SciTePress
Place of publication
Setubal
Event location
Marbella
Event date
Oct 20, 2025
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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