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- 1.0543168 - 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 - 2.0519654 - ÚTIA 2020 RIV IT eng A - Abstract
Mácha, Václav - Adam, Lukáš - Šmídl, Václav
General framework for binary nonlinear classification on top samples.
Book of Abstracts of the 3rd International Conference and Summer School, Numerical Computations: Theory and Algorithms. Rende: Centro Editoriale e Librario dell’Universit`a della Calabria, 2019 - (Sergeyev, Y.; Kvasov, D.; Mukhametzhanov, M.; Nasso, M.). s. 206-206. ISBN 9788874581016.
[NUMERICAL COMPUTATIONS: THEORY AND ALGORITHMS (NUMTA–2019). 15.06.2019-21.06.2019, Le Castella Village]
R&D Projects: GA ČR GA18-21409S
Institutional support: RVO:67985556
Keywords : binary classification * duality * kernels * accuracy at the top * ranking * hypothesis testing
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
http://library.utia.cas.cz/separaty/2019/AS/macha-0519654.pdf
Permanent Link: http://hdl.handle.net/11104/0304787File Download Size Commentary Version Access 0519654.pdf 0 114.7 KB Publisher’s postprint open-access - 3.0503127 - ÚI 2021 RIV CH eng C - Conference Paper (international conference)
Kůrková, Věra - Sanguineti, M.
Probabilistic Bounds for Binary Classification of Large Data Sets.
Recent Advances in Big Data and Deep Learning. Cham: Springer, 2020 - (Oneto, L.; Navarin, N.; Sperduti, A.; Anguita, D.), s. 309-319. Proceedings of the International Neural Networks Society, 1. ISBN 978-3-030-16840-7. ISSN 2661-8141.
[INNSBDDL 2019: INNS Big Data and Deep Learning /4./. Sestri Levante (IT), 16.04.2019-18.04.2019]
R&D Projects: GA ČR(CZ) GA18-23827S
Institutional support: RVO:67985807
Keywords : Binary classification * Approximation by feedforward networks * Concentration of measure * Azuma-Hoeffding inequality
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/11104/0294978File Download Size Commentary Version Access 0503127a.pdf 6 164.7 KB Publisher’s postprint require - 4.0493926 - ÚI 2019 RIV DE eng C - Conference Paper (international conference)
Kůrková, Věra - Sanguineti, M.
Probabilistic Bounds on Complexity of Networks Computing Binary Classification Tasks.
ITAT 2018: Information Technologies – Applications and Theory. Proceedings of the 18th conference ITAT 2018. Aachen: Technical University & CreateSpace Independent Publishing Platform, 2018 - (Krajči, S.), s. 86-91. CEUR Workshop Proceedings, V-2203. ISSN 1613-0073.
[ITAT 2018. Conference on Information Technologies – Applications and Theory /18./. Plejsy (SK), 21.09.2018-25.09.2018]
R&D Projects: GA ČR(CZ) GA18-23827S
Institutional support: RVO:67985807
Keywords : feedforward networks * binary classification * measures of sparsity * probabilistic bounds * dictionaries of computational units
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
http://ceur-ws.org/Vol-2203/86.pdf
Permanent Link: http://hdl.handle.net/11104/0287193File Download Size Commentary Version Access a0493926.pdf 5 627.8 KB Publisher’s postprint require - 5.0485611 - 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