Search results

  1. 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. 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/11104/0286524
    FileDownloadSizeCommentaryVersionAccess
    a0493061.pdf71.3 MBOAPublisher’s postprintopen-access
     
     
  3. 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. 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/11104/0267550
    FileDownloadSizeCommentaryVersionAccess
    a0469752.pdf2315 KBPublisher’s postprintopen-access
     
     
  5. 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 MŠk(CZ) LD13002
    Institutional support: RVO:67985807
    Keywords : particle filter * kernel methods * Fourier transform
    Permanent Link: http://hdl.handle.net/11104/0245457
    FileDownloadSizeCommentaryVersionAccess
    0442648.pdf8640.4 KBPublisher’s postprintopen-access
     
     
  6. 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 MŠk(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. 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 MŠk(CZ) LD13002
    Institutional support: RVO:67985807
    Keywords : kernel methods * metalearning * computational intelligence
    Subject RIV: IN - Informatics, Computer Science
    Permanent Link: http://hdl.handle.net/11104/0236830
    FileDownloadSizeCommentaryVersionAccess
    0432490.pdf9122.7 KBPublisher’s postprintopen-access
     
     
  8. 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 MŠk(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/11104/0235301
    FileDownloadSizeCommentaryVersionAccess
    v1210-14.pdf22301.1 KBOtheropen-access
     
     
  9. 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/11104/0125736
    FileDownloadSizeCommentaryVersionAccess
    0405582.pdf0884.7 KBPublisher’s postprintopen-access
     
     
  10. 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