| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0640443 |
| utime |
20251107113508.5 |
| mtime |
20251027235959.9 |
| DOI |
10.5220/0013705300003982 |
| title
(primary) (eng) |
Categorical Model Estimation with Feature Selection Using an Ant Colony Optimization |
| specification |
| page_count |
8 s. |
| media_type |
E |
|
| serial |
| ARLID |
cav_un_epca*0640442 |
| ISBN |
978-989-758-770-2 |
| ISSN |
2184-2809 |
| title
|
Proceedings of the 22nd International Conference on Informatics in Control, Automation and Robotics - ICINCO 2025 |
| page_num |
219-226 |
| publisher |
| place |
Setubal |
| name |
SciTePress |
| year |
2025 |
|
| editor |
| name1 |
Gini |
| name2 |
Giuseppina |
|
| editor |
| name1 |
Precup |
| name2 |
Radu-Emil |
|
| editor |
| name1 |
Filev |
| name2 |
Dimitar |
|
|
| keyword |
categorical model estimation |
| keyword |
feature selection |
| keyword |
ant colony optimization |
| keyword |
dimension reduction |
| author
(primary) |
| ARLID |
cav_un_auth*0452994 |
| name1 |
Reznychenko |
| name2 |
T. |
| country |
CZ |
|
| author
|
| ARLID |
cav_un_auth*0383037 |
| name1 |
Uglickich |
| name2 |
Evženie |
| institution |
UTIA-B |
| full_dept (cz) |
Zpracování signálů |
| full_dept |
Department of Signal Processing |
| department (cz) |
ZS |
| department |
ZS |
| full_dept |
Department of Signal Processing |
| country |
CZ |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0101167 |
| name1 |
Nagy |
| name2 |
Ivan |
| institution |
UTIA-B |
| full_dept (cz) |
Zpracování signálů |
| full_dept |
Department of Signal Processing |
| department (cz) |
ZS |
| department |
ZS |
| full_dept |
Department of Signal Processing |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| source |
|
| cas_special |
| project |
| project_id |
9A22004 |
| agency |
GA MŠk |
| country |
CZ |
| ARLID |
cav_un_auth*0459135 |
|
| abstract
(eng) |
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. |
| action |
| ARLID |
cav_un_auth*0495799 |
| name |
ICINCO 2025 : International Conference on Informatics in Control, Automation and Robotics /22./ |
| dates |
20251020 |
| mrcbC20-s |
20251022 |
| place |
Marbella |
| country |
ES |
|
| RIV |
BB |
| FORD0 |
10000 |
| FORD1 |
10100 |
| FORD2 |
10103 |
| reportyear |
2026 |
| num_of_auth |
3 |
| presentation_type |
PO |
| inst_support |
RVO:67985556 |
| permalink |
https://hdl.handle.net/11104/0371244 |
| confidential |
S |
| mrcbT16-q |
5 |
| mrcbT16-y |
20.06 |
| mrcbT16-x |
0.45 |
| mrcbT16-3 |
40 |
| arlyear |
2025 |
| mrcbU14 |
SCOPUS |
| mrcbU24 |
PUBMED |
| mrcbU34 |
WOS |
| mrcbU63 |
cav_un_epca*0640442 Proceedings of the 22nd International Conference on Informatics in Control, Automation and Robotics - ICINCO 2025 SciTePress 2025 Setubal 219 226 978-989-758-770-2 2184-2809 |
| mrcbU67 |
Gini Giuseppina 340 |
| mrcbU67 |
Precup Radu-Emil 340 |
| mrcbU67 |
Filev Dimitar 340 |
|