Search results
- 1.0586040 - ÚI 2025 RIV CZ eng J - Journal Article
Kalina, Jan - Vidnerová, Petra - Janáček, Patrik
Highly Robust Training of Regularized Radial Basis Function Networks.
Kybernetika. Roč. 60, č. 1 (2024), s. 38-59. ISSN 0023-5954
R&D Projects: GA ČR(CZ) GA22-02067S
Institutional support: RVO:67985807
Keywords : effective regularization * quantile regression * regression neural networks * robust training * robustness
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Impact factor: 0.5, year: 2022
Method of publishing: Open access
https://doi.org/85190739311
Permanent Link: https://hdl.handle.net/11104/0353642File Download Size Commentary Version Access 0586040-oaf.pdf 1 1.2 MB Freely available: https://www.kybernetika.cz/content/2024/1/38/paper.pdf Publisher’s postprint require - 2.0585939 - MÚ 2025 RIV DE eng J - Journal Article
Corella, A. D. - Jork, N. - Nečasová, Šárka - Simon, J. S. H.
Stability analysis of the Navier–Stokes velocity tracking problem with bang-bang controls.
Journal of Optimization Theory and Applications. Roč. 201, č. 2 (2024), s. 790-824. ISSN 0022-3239. E-ISSN 1573-2878
R&D Projects: GA ČR(CZ) GC22-08633J
Grant - others:AV ČR(CZ) AP2101
Program: Akademická prémie - Praemium Academiae
Institutional support: RVO:67985840
Keywords : Navier-Stokes equations * optimality conditions * stability analysis * Tikhonov regularization
OECD category: Pure mathematics
Impact factor: 1.9, year: 2022
Method of publishing: Limited access
https://doi.org/10.1007/s10957-024-02413-6
Permanent Link: https://hdl.handle.net/11104/0353573File Download Size Commentary Version Access Necasova2.pdf 0 582.2 KB Publisher’s postprint require - 3.0585221 - FZÚ 2025 RIV DE eng J - Journal Article
Glavan, Dražen - Miao, S.P. - Prokopec, T. - Woodard, R.P.
Gauge independent logarithms from inflationary gravitons.
Journal of High Energy Physics. Roč. 2024, č. 3 (2024), č. článku 129. ISSN 1029-8479. E-ISSN 1029-8479
R&D Projects: GA MŠMT(CZ) EH22_010/0002906
Institutional support: RVO:68378271
Keywords : gauge Symmetry * models of quantum gravity * de Sitter space * renormalization and regularization
OECD category: Particles and field physics
Impact factor: 5.4, year: 2022
Method of publishing: Open access
Permanent Link: https://hdl.handle.net/11104/0352991File Download Size Commentary Version Access 0585221.pdf 0 843.5 KB CC Licence Publisher’s postprint open-access - 4.0583574 - ÚTIA 2024 RIV CH eng C - Conference Paper (international conference)
Kalina, Jan - Peštová, B.
On the Bayesian Interpretation of Penalized Statistical Estimators.
Artificial Intelligence and Soft Computing. 22nd International Conference, ICAISC 2023, Proceedings, Part 2. Cham: Springer, 2023 - (Rutkowski, L.; Scherer, R.; Korytkowski, M.; Pedrycz, W.; Tadeusiewicz, R.; Zurada, J.), s. 343-352. Lecture Notes in Computer Science, 14126. ISBN 978-3-031-42507-3.
[ICAISC 2023: International Conference on Artificial Intelligence and Soft Computing /22./. Zakopane (PL), 18.07.2023-22.07.2023]
R&D Projects: GA ČR GA21-05325S
Institutional support: RVO:67985556
Keywords : Bayesian estimation * regularization * penalization * robustness * regression
OECD category: Statistics and probability
http://library.utia.cas.cz/separaty/2023/SI/kalina-0583574.pdf
Permanent Link: https://hdl.handle.net/11104/0351579 - 5.0581616 - ÚI 2025 GB eng J - Journal Article
Kalina, Jan
Regularized least weighted squares estimator in linear regression.
Communications in Statistics - Simulation and Computation. Online 08 January 2024 (2024). ISSN 0361-0918. E-ISSN 1532-4141
R&D Projects: GA ČR(CZ) GA22-02067S
Institutional support: RVO:67985807
Keywords : Lasso estimator * Outliers * Regularization * Robust regression * Sparsity
Impact factor: 0.9, year: 2022
Method of publishing: Limited access
https://doi.org/10.1080/03610918.2023.2300356
Permanent Link: https://hdl.handle.net/11104/0349720 - 6.0579680 - ÚI 2024 RIV CH eng C - Conference Paper (international conference)
Kalina, Jan - Peštová, Barbora
On the Bayesian Interpretation of Penalized Statistical Estimators.
Artificial Intelligence and Soft Computing. 22nd International Conference, ICAISC 2023, Proceedings, Part 2. Cham: Springer, 2023 - (Rutkowski, L.; Scherer, R.; Korytkowski, M.; Pedrycz, W.; Tadeusiewicz, R.; Zurada, J.), s. 343-352. Lecture Notes in Computer Science, 14126. ISBN 978-3-031-42507-3.
[ICAISC 2023: International Conference on Artificial Intelligence and Soft Computing /22./. Zakopane (PL), 18.07.2023-22.07.2023]
R&D Projects: GA ČR GA21-05325S
Institutional support: RVO:67985807
Keywords : Bayesian estimation * regularization * penalization * robustness * regression
OECD category: Statistics and probability
https://doi.org/10.1007/978-3-031-42508-0_31
Permanent Link: https://hdl.handle.net/11104/0348492 - 7.0577144 - ÚI 2024 RIV CH eng J - Journal Article
Štěpánek, Lubomír - Dlouhá, Jana - Martinková, Patrícia
Item Difficulty Prediction Using Item Text Features: Comparison of Predictive Performance across Machine-Learning Algorithms.
Mathematics. Roč. 11, č. 19 (2023), č. článku 4104. ISSN 2227-7390
R&D Projects: GA ČR(CZ) GA21-03658S
Institutional support: RVO:67985807
Keywords : text-based item difficulty prediction * text features and item wording * machine learning * regularization methods * elastic net regression * support vector machines * regression and decision trees * random forests * neural networks * algorithm vs. domain expert’s prediction performance
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Impact factor: 2.4, year: 2022
Method of publishing: Open access
https://dx.doi.org/10.3390/math11194104
Permanent Link: https://hdl.handle.net/11104/0346365File Download Size Commentary Version Access 0577144-aoa.pdf 1 715.6 KB OA CC BY 4.0 Publisher’s postprint open-access - 8.0570934 - ÚJF 2024 RIV CH eng J - Journal Article
Horváth, Ivan - Markoš, P. - Medris, R.
Counting-Based Effective Dimension and Discrete Regularizations.
Entropy. Roč. 25, č. 3 (2023), č. článku 482. E-ISSN 1099-4300
Institutional support: RVO:61389005
Keywords : Minkowski dimension * effective counting dimension * effective number theory * effective support * effective description * minimal effective description * regularization * Anderson localization * lattice QCD
OECD category: Atomic, molecular and chemical physics (physics of atoms and molecules including collision, interaction with radiation, magnetic resonances, Mössbauer effect)
Impact factor: 2.7, year: 2022
Method of publishing: Open access
https://doi.org/10.3390/e25030482
Permanent Link: https://hdl.handle.net/11104/0342273File Download Size Commentary Version Access 0570934.pdf 0 311.9 KB Open Access - CC licence Publisher’s postprint open-access - 9.0563344 - ÚI 2024 RIV US eng J - Journal Article
Marmolejo-Ramos, F. - Tejo, M. - Brabec, Marek - Kužílek, J. - Joksimovic, S. - Kovanovic, V. - González, J. - Kneib, T. - Bühlmann, P. - Kook, L. - Briseño-Sánchez, G. - Ospina, R.
Distributional regression modeling via generalized additive models for location, scale, and shape: An overview through a data set from learning analytics.
Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery. Roč. 13, č. 1 (2023), č. článku e1479. ISSN 1942-4787. E-ISSN 1942-4795
Institutional support: RVO:67985807
Keywords : causal regularization * causality * educational data mining * generalized additive models for location, scale and shape * learning analytics * machine learning * statistical learning * statistical modeling * supervised learning
OECD category: Statistics and probability
Impact factor: 7.8, year: 2022
Method of publishing: Open access
https://dx.doi.org/10.1002/widm.1479
Permanent Link: https://hdl.handle.net/11104/0335333File Download Size Commentary Version Access 0563344-aoaonl.pdf 3 3.6 MB OA CC BY 4.0 Publisher’s postprint open-access - 10.0559346 - ÚGN 2023 RIV SK eng C - Conference Paper (international conference)
Axelsson, Owe
Regularization methods for the construction of preconditioners for saddle point problems.
Proceedings of The Conference Algoritmy 2020. Bratislava: Slovak University of Technology in Bratislava, 2020 - (Frolkovič, P.; Mikula, K.; Ševčovič, D.), s. 141-150. ISBN 978-80-227-5032-5.
[Algoritmy 2020 - Conference on Scientific Computing /21./. Vysoké Tatry - Podbanské (SK), 10.09.2020-15.09.2020]
R&D Projects: GA MŠMT LQ1602
Institutional support: RVO:68145535
Keywords : saddle-point * regularization * preconditioners
OECD category: Applied mathematics
http://www.iam.fmph.uniba.sk/amuc/ojs/index.php/algoritmy/article/download/1576/828
Permanent Link: https://hdl.handle.net/11104/0332685File Download Size Commentary Version Access UGN_0559346.pdf 1 287.5 KB Other require