Search results
- 1.0510031 - ÚTIA 2020 RIV SG eng M - Monography Chapter
Kukačka, Jiří
Simulated maximum likelihood estimation of agent-based models in economics and finance.
Network Theory and Agent-Based Modeling in Economics and Finance. Singapore: Springer, 2019 - (Chakrabarti, A.; Pichl, L.; Kaizoji, T.), s. 203-226. ISBN 978-981-13-8318-2
R&D Projects: GA ČR(CZ) GJ17-12386Y
Institutional support: RVO:67985556
Keywords : simulation-based framework * kernel methods * economic models
OECD category: Finance
Permanent Link: http://hdl.handle.net/11104/0301161 - 2.0493061 - ÚI 2019 RIV SG eng J - Journal Article
Vidnerová, Petra - Neruda, Roman
Kernel Function Tuning for Single-Layer Neural Networks.
International Journal of Machine Learning and Computing. Roč. 8, č. 4 (2018), s. 354-360. ISSN 2010-3700
R&D Projects: GA ČR GA15-18108S
Institutional support: RVO:67985807
Keywords : radial basis function networks * shallow neural networks * kernel methods * hyper-parameter tuning
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
http://www.ijmlc.org/index.php?m=content&c=index&a=show&catid=79&id=831
Permanent Link: http://hdl.handle.net/11104/0286524File Download Size Commentary Version Access a0493061.pdf 7 1.3 MB OA Publisher’s postprint open-access - 3.0485639 - ÚI 2021 RIV GB eng J - Journal Article
Vidnerová, Petra - Neruda, Roman
Vulnerability of classifiers to evolutionary generated adversarial examples.
Neural Networks. Roč. 127, July (2020), s. 168-181. ISSN 0893-6080. E-ISSN 1879-2782
R&D Projects: GA ČR(CZ) GA18-23827S
Institutional support: RVO:67985807
Keywords : supervised learning * neural networks * kernel methods * genetic algorithms * adversarial examples
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Impact factor: 8.050, year: 2020
Method of publishing: Limited access
http://dx.doi.org/10.1016/j.neunet.2020.04.015
Permanent Link: http://hdl.handle.net/11104/0280599 - 4.0469752 - ÚI 2017 RIV CZ eng J - Journal Article
Coufal, David
On Convergence of Kernel Density Estimates in Particle Filtering.
Kybernetika. Roč. 52, č. 5 (2016), s. 735-756. ISSN 0023-5954
Grant - others:GA ČR(CZ) GA16-03708S; SVV(CZ) 260334/2016
Institutional support: RVO:67985807
Keywords : Fourier analysis * kernel methods * particle filter
Subject RIV: BB - Applied Statistics, Operational Research
Impact factor: 0.379, year: 2016
Permanent Link: http://hdl.handle.net/11104/0267550File Download Size Commentary Version Access a0469752.pdf 3 315 KB Publisher’s postprint open-access - 5.0442648 - ÚI 2015 CZ eng A - Abstract
Coufal, David
Kernel Estimates of Derivatives in Particle Filter.
STOCHASTIKA 2015. Prague: CTU FEL, 2015. s. 8-8.
[STOCHASTIKA 2015. 08.02.2015-13.02.2015, Kohútka]
R&D Projects: GA MŠMT(CZ) LD13002
Institutional support: RVO:67985807
Keywords : particle filter * kernel methods * Fourier transform
Permanent Link: http://hdl.handle.net/11104/0245457File Download Size Commentary Version Access 0442648.pdf 8 640.4 KB Publisher’s postprint open-access - 6.0442499 - ÚI 2015 US eng V - Research Report
Coufal, David
Kernel density estimates in particle filter.
Cornell University, 2015. 37 s. arXiv.org e-Print archive, arXiv:1402.3466 [stat.CO].
R&D Projects: GA MŠMT(CZ) LD13002
Institutional support: RVO:67985807
Keywords : particle filter * kernel methods * Fourier transform
Subject RIV: BB - Applied Statistics, Operational Research
http://arxiv.org/abs/1402.3466
Permanent Link: http://hdl.handle.net/11104/0245307 - 7.0432490 - ÚI 2015 RIV CZ eng C - Conference Paper (international conference)
Vidnerová, Petra - Neruda, Roman
Meta-Parameters of Kernel Methods and Their Optimization.
ITAT 2014. Information Technologies - Applications and Theory. Part II. Prague: Institute of Computer Science AS CR, 2014 - (Kůrková, V.; Bajer, L.; Peška, L.; Vojtáš, R.; Holeňa, M.; Nehéz, M.), s. 99-105. ISBN 978-80-87136-19-5.
[ITAT 2014. European Conference on Information Technologies - Applications and Theory /14./. Demänovská dolina (SK), 25.09.2014-29.09.2014]
R&D Projects: GA MŠMT(CZ) LD13002
Institutional support: RVO:67985807
Keywords : kernel methods * metalearning * computational intelligence
Subject RIV: IN - Informatics, Computer Science
Permanent Link: http://hdl.handle.net/11104/0236830File Download Size Commentary Version Access 0432490.pdf 9 122.7 KB Publisher’s postprint open-access - 8.0430347 - ÚI 2015 CZ eng V - Research Report
Coufal, David
Kernel density estimates in particle filter.
Prague: ICS AS CR, 2014. 29 s. Technical Report, V-1210.
R&D Projects: GA MŠMT(CZ) LD13002
Institutional support: RVO:67985807
Keywords : particle filters * kernel methods * Fourier analysis
Subject RIV: BB - Applied Statistics, Operational Research
Permanent Link: http://hdl.handle.net/11104/0235301File Download Size Commentary Version Access v1210-14.pdf 25 301.1 KB Other open-access - 9.0405582 - UIVT-O 330962 RIV CZ eng K - Conference Paper (Czech conference)
Kudová, Petra
Kernel Based Regularization Netowrks.
[Jádrové regularizční sítě.]
Doktorandský den '05. Praha: MATFYZPRESS, 2005 - (Hakl, F.), s. 65-74. ISBN 80-86732-56-8.
[Doktorandský den '05. Nový Dvůr (CZ), 05.10.2005-07.10.2005]
R&D Projects: GA ČR GA201/05/0557
Institutional research plan: CEZ:AV0Z10300504
Keywords : learning from examples * regularization networks * kernel methods * product kernels * sum kernels
Subject RIV: BA - General Mathematics
Permanent Link: http://hdl.handle.net/11104/0125736File Download Size Commentary Version Access 0405582.pdf 0 884.7 KB Publisher’s postprint open-access - 10.0405548 - UIVT-O 330927 RIV SK eng C - Conference Paper (international conference)
Kudová, Petra
Learning with Kernel Based Regularization Methods.
[Učení pomocí jádrových regularizačních sítí.]
ITAT 2005. Information Technologies - Applications and Theory. Košice: Prírodovedecká fakulta, Univerzita P. J. Šafárika, 2005 - (Vojtáš, P.), s. 83-92. ISBN 80-7097-609-8.
[ITAT 2005. Račkova dolina (SK), 20.09.2005-25.09.2005]
R&D Projects: GA ČR GA201/05/0557
Institutional research plan: CEZ:AV0Z10300504
Keywords : learning from examples * regularization networks * kernel methods
Subject RIV: BA - General Mathematics
Permanent Link: http://hdl.handle.net/11104/0125704