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- 1.0577075 - ÚI 2024 RIV CH eng C - Conference Paper (international conference)
Kůrková, Věra
Approximation of Binary-Valued Functions by Networks of Finite VC Dimension.
Artificial Neural Networks and Machine Learning – ICANN 2023. Proceedings, Part I. Cham: Springer, 2023 - (Iliadis, L.; Papaleonidas, A.; Angelov, P.; Jayne, C.), s. 483-490. Lecture Notes in Computer Science, 14254. ISBN 978-3-031-44206-3. ISSN 0302-9743.
[ICANN 2023: International Conference on Artificial Neural Networks /32./. Heraklion (GR), 26.09.2023-29.09.2023]
R&D Projects: GA ČR(CZ) GA22-02067S
Institutional support: RVO:67985807
Keywords : approximation by neural networks * bounds on approximation errors * VC dimension * growth function * high-dimensional probability * concentration inequalities * method of bounded differences
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
https://dx.doi.org/10.1007/978-3-031-44207-0_40
Permanent Link: https://hdl.handle.net/11104/0346341 - 2.0572576 - ÚI 2024 RIV GB eng J - Journal Article
Kůrková, Věra - Sanguineti, M.
Approximation of Classifiers by Deep Perceptron Networks.
Neural Networks. Roč. 165, August 2023 (2023), s. 654-661. ISSN 0893-6080. E-ISSN 1879-2782
R&D Projects: GA ČR(CZ) GA22-02067S
Institutional support: RVO:67985807
Keywords : Approximation by deep networks * Probabilistic bounds on approximation errors * Random classifiers * Concentration of measure * Method of bounded differences * Growth functions
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Impact factor: 7.8, year: 2022
Method of publishing: Limited access
https://dx.doi.org/10.1016/j.neunet.2023.06.004
Permanent Link: https://hdl.handle.net/11104/0343221 - 3.0543168 - ÚI 2022 RIV DE eng J - Journal Article
Kůrková, Věra - Sanguineti, M.
Correlations of Random Classifiers on Large Data Sets.
Soft Computing. Roč. 25, č. 19 (2021), s. 12641-12648. ISSN 1432-7643. E-ISSN 1433-7479
R&D Projects: GA ČR(CZ) GA19-05704S
Institutional support: RVO:67985807
Keywords : Random classifiers * Optimization of feedforward networks * Binary classification * Concentration of measure * Method of bounded differences
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Impact factor: 3.732, year: 2021
Method of publishing: Limited access
http://dx.doi.org/10.1007/s00500-021-05938-4
Permanent Link: http://hdl.handle.net/11104/0320443