Search results
- 1.0544178 - ÚI 2022 RIV CZ eng A - Abstract
Kalina, Jan - Vidnerová, Petra
On Robust Training of Regression Neural Networks.
IWFOS 2021. Book of Abstracts. Brno: MUNI Faculty of Science, 2021. s. 35-35.
[IWFOS 2020/2021: International Workshop on Functional and Operatorial Statistics /5./. 23.06.2021-25.06.2021, Online]
R&D Projects: GA ČR(CZ) GA19-05704S; GA ČR(CZ) GA18-23827S
Institutional support: RVO:67985807
Keywords : neural networks * robustness * nonlinear regression quantiles
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
https://iwfos2021.sci.muni.cz/media/3326670/iwfos2021-book-of-abstracts.pdf
Permanent Link: http://hdl.handle.net/11104/0321234File Download Size Commentary Version Access 0544178-aw.pdf 2 125.6 KB volně online Publisher’s postprint open-access - 2.0523714 - ÚI 2021 IT eng A - Abstract
Kůrková, Věra - Sanguineti, M.
Probabilistic Tools for Optimization of Classifiers on Large Data Sets.
ODS 2019. Book of Abstracts. Genova: AIRO - Italian Operations Research Society, 2019. s. 75-75.
[ODS 2019: International Conference on Optimization and Decision Science /49./. 04.09.2019-07.09.2019, Genova]
R&D Projects: GA ČR(CZ) GA18-23827S
Institutional support: RVO:67985807
Keywords : Classification * Optimization of Computational Models * Concentration of Measures * Azuma-Hoeffding Inequality
Permanent Link: http://hdl.handle.net/11104/0308024File Download Size Commentary Version Access 0523714-a.pdf 1 29.5 KB Publisher’s postprint require - 3.0518921 - ÚI 2020 CZ eng A - Abstract
Coufal, David
Generative Adversial Networks. A 2019 Review.
Proceedings of the 22nd Czech-Japan Seminar on Data Analysis and Decision Making (CJS’19). Praha: MatfyzPress, 2019 - (Inuiguchi, M.; Jiroušek, R.; Kratochvíl, V.). s. 25-27. ISBN 978-80-7378-400-3.
[CJS 2019. Czech-Japan Seminar on Data Analysis and Decision Making /22./. 25.09.2019-28.09.2019, Nový Světnov]
R&D Projects: GA ČR(CZ) GA18-23827S
Institutional support: RVO:67985807
http://cjs.utia.cas.cz/proceedings.pdf
Permanent Link: http://hdl.handle.net/11104/0303927File Download Size Commentary Version Access 0518921-aw.pdf 1 241.8 KB volně online Publisher’s postprint open-access - 4.0510711 - ÚI 2020 ES eng A - Abstract
Kůrková, Věra
Some Implications of Interval Approach to Dimension for Network Complexity.
ESCIM 2019. Book of Abstracts. Cádiu: University of Cádiz, 2019 - (Kóczy, L.; Medina, J.). s. 59-60. ISBN 978-84-09-14600-0.
[ESCIM 2019: European Symposium on Computational Intelligence and Mathematics /11./. 02.10.2019-05.10.2019, Toledo]
R&D Projects: GA ČR(CZ) GA18-23827S
Institutional support: RVO:67985807
Keywords : quasiorthogonal dimension * sparsity of feedforward networks * high-dimensional geometry * concentration of measure * covering numbers
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Permanent Link: http://hdl.handle.net/11104/0301114File Download Size Commentary Version Access 0510711-a.pdf 1 120.6 KB Publisher’s postprint require