Search results
- 1.0548678 - ÚI 2022 RIV CH eng J - Journal Article
Vidnerová, Petra - Neruda, Roman
Air Pollution Modelling by Machine Learning Methods.
Modelling. Roč. 2, č. 4 (2021), s. 659-674. E-ISSN 2673-3951
R&D Projects: GA ČR(CZ) GA18-23827S
Institutional support: RVO:67985807
Keywords : machine learning * air pollution * sensors * deep neural networks * regularization networks
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Method of publishing: Open access
http://dx.doi.org/10.3390/modelling2040035
Permanent Link: http://hdl.handle.net/11104/0324730File Download Size Commentary Version Access 0548678-afoa.pdf 4 411.1 KB OA CC BY 4.0 Publisher’s postprint open-access - 2.0541777 - ÚI 2022 RIV SG eng J - Journal Article
Kalina, Jan - Neoral, Aleš - Vidnerová, Petra
Effective Automatic Method Selection for Nonlinear Regression Modeling.
International Journal of Neural Systems. Roč. 31, č. 10 (2021), č. článku 2150020. ISSN 0129-0657. E-ISSN 1793-6462
R&D Projects: GA ČR(CZ) GA19-05704S; GA ČR(CZ) GA18-23827S
Institutional support: RVO:67985807
Keywords : metalearning * nonlinear regression * robust statistical estimation * feature selection * AutoML
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Impact factor: 6.325, year: 2021
Method of publishing: Limited access
http://dx.doi.org/10.1142/S0129065721500209
Permanent Link: http://hdl.handle.net/11104/0319314 - 3.0532708 - ÚI 2022 RIV US eng J - Journal Article
Kůrková, Věra - Coufal, David
Translation-Invariant Kernels for Multivariable Approximation.
IEEE Transactions on Neural Networks and Learning Systems. Roč. 32, č. 11 (2021), s. 5072-5081. ISSN 2162-237X. E-ISSN 2162-2388
R&D Projects: GA ČR(CZ) GA18-23827S
Institutional support: RVO:67985807
Keywords : Classification * Fourier and Hankel transforms * 17 function approximation * radial kernels * translation-invariant kernels
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Impact factor: 14.255, year: 2021
Method of publishing: Limited access
http://dx.doi.org/10.1109/TNNLS.2020.3026720
Permanent Link: http://hdl.handle.net/11104/0311119 - 4.0524108 - ÚI 2021 RIV US eng J - Journal Article
Kainen, P.C. - Kůrková, Věra - Vogt, A.
Approximative Compactness of Linear Combinations of Characteristic Functions.
Journal of Approximation Theory. Roč. 257, September 2020 (2020), č. článku 105435. ISSN 0021-9045. E-ISSN 1096-0430
R&D Projects: GA ČR(CZ) GA18-23827S
Institutional support: RVO:67985807
Keywords : Approximative compactness * Compact sets of characteristic (indicator) functions * Symmetric difference metric * Hausdorff metric * Haar measure * Neural networks
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Impact factor: 1.091, year: 2020
Method of publishing: Limited access
http://dx.doi.org/10.1016/j.jat.2020.105435
Permanent Link: http://hdl.handle.net/11104/0308450 - 5.0503896 - ÚI 2020 RIV NL eng J - Journal Article
Kůrková, Věra
Some insights from high-dimensional spheres: Comment on 'The unreasonable effectiveness of small neural ensembles in high-dimensional brain' by Alexander N. Gorban et al.
Physics of Life Reviews. Roč. 29, July 2019 (2019), s. 98-100. ISSN 1571-0645. E-ISSN 1873-1457
R&D Projects: GA ČR(CZ) GA18-23827S
Institutional support: RVO:67985807
Keywords : neural networks * high-dimensional geometry * concentration of measure * commentary
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Impact factor: 14.789, year: 2019
Method of publishing: Limited access
Permanent Link: http://hdl.handle.net/11104/0295662 - 6.0485613 - ÚI 2020 RIV US eng J - Journal Article
Kůrková, Věra
Limitations of Shallow Networks Representing Finite Mappings.
Neural Computing & Applications. Roč. 31, č. 6 (2019), s. 1783-1792. ISSN 0941-0643. E-ISSN 1433-3058
R&D Projects: GA ČR GA15-18108S; GA ČR(CZ) GA18-23827S
Institutional support: RVO:67985807
Keywords : shallow and deep networks * sparsity * variational norms * functions on large finite domains * finite dictionaries of computational units * pseudo-noise sequences * perceptron networks
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Impact factor: 4.774, year: 2019
Method of publishing: Open access
http://dx.doi.org/10.1007/s00521-018-3680-1
Permanent Link: http://hdl.handle.net/11104/0280569File Download Size Commentary Version Access 0485613-afin.pdf 12 608 KB stránkovaná, finální verze Publisher’s postprint require 0485613.pdf 5 330.3 KB Author´s preprint require - 7.0485611 - ÚI 2020 RIV US eng J - Journal Article
Kůrková, Věra - Sanguineti, M.
Classification by Sparse Neural Networks.
IEEE Transactions on Neural Networks and Learning Systems. Roč. 30, č. 9 (2019), s. 2746-2754. ISSN 2162-237X. E-ISSN 2162-2388
R&D Projects: GA ČR GA15-18108S; GA ČR(CZ) GA18-23827S
Institutional support: RVO:67985807
Keywords : Binary classification * Chernoff–Hoeffding bound * dictionaries of computational units * feedforward networks * measures of sparsity
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Impact factor: 8.793, year: 2019
Method of publishing: Limited access
http://dx.doi.org/10.1109/TNNLS.2018.2888517
Permanent Link: http://hdl.handle.net/11104/0280566File Download Size Commentary Version Access 0485611-a.pdf 18 458.9 KB Publisher’s postprint require