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  1. 1.
    0462723 - ÚI 2017 RIV US eng C - Conference Paper (international conference)
    Vidnerová, Petra - Neruda, Roman
    Sensor Data Air Pollution Prediction by Kernel Models.
    Proceedings og the 16th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing. Los Alamitos: IEEE CS, 2016, s. 666-673. ISBN 978-1-5090-2453-7.
    [CCGrid 2016. IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing /16./. Cartagena de Indias (CO), 16.05.2016-19.05.2016]
    R&D Projects: GA ČR GA15-18108S
    Institutional support: RVO:67985807
    Keywords : environmental modelling * kernel models * hybrid methods
    Subject RIV: IN - Informatics, Computer Science
    Permanent Link: http://hdl.handle.net/11104/0262113
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    a0462723.pdf4380.4 KBPublisher’s postprintrequire
     
     
  2. 2.
    0444960 - ÚI 2016 RIV CH eng C - Conference Paper (international conference)
    Vidnerová, Petra - Neruda, Roman
    Product Multi-kernels for Sensor Data Analysis.
    Artificial Intelligence and Soft Computing. Vol. 1. Cham: Springer, 2015 - (Rutkowski, L.; Korytkowski, M.; Scherer, R.; Tadeusiewicz, R.; Zadeh, L.; Zurada, J.), s. 123-133. Lecture Notes in Artificial Intelligence, 9119. ISBN 978-3-319-19323-6. ISSN 0302-9743.
    [ICAISC 2015. International Conference on Artificial Intelligence and Soft Computing /14./. Zakopane (PL), 12.06.2015-16.06.2015]
    R&D Projects: GA ČR GA15-18108S
    Institutional support: RVO:67985807
    Keywords : Regularization networks * Multi-kernel models * Product units * Sensor data
    Subject RIV: IN - Informatics, Computer Science
    Permanent Link: http://hdl.handle.net/11104/0247392
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    0444960.pdf2595.6 KBAuthor´s preprintopen-access
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  3. 3.
    0357302 - ÚI 2012 RIV DE eng C - Conference Paper (international conference)
    Kůrková, Věra - Kainen, P.C.
    Kernel Networks with Fixed and Variable Widths.
    Adaptive and Natural Computing Algorithms. Part I. Vol. 1. Heidelberg: Springer, 2011 - (Dobnikar, A.; Lotrič, U.; Šter, B.), s. 12-21. Lecture Notes in Computer Science, 6593. ISBN 978-3-642-20281-0. ISSN 0302-9743.
    [ICANNGA'2011. International Conference /10./. Ljubljana (SI), 14.04.2011-16.04.2011]
    R&D Projects: GA MŠMT OC10047; GA MŠMT(CZ) ME10023
    Institutional research plan: CEZ:AV0Z10300504
    Keywords : kernel models * Gaussian kernel networks * minimization of error functionals * regularization
    Subject RIV: IN - Informatics, Computer Science
    Permanent Link: http://hdl.handle.net/11104/0195612
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  4. 4.
    0350421 - ÚI 2011 RIV GB eng J - Journal Article
    Gnecco, G. - Kůrková, Věra - Sanguineti, M.
    Some Comparisons of Complexity in Dictionary-Based and Linear Computational Models.
    Neural Networks. Roč. 24, č. 2 (2011), s. 171-182. ISSN 0893-6080. E-ISSN 1879-2782
    R&D Projects: GA ČR GA201/08/1744
    Grant - others:CNR - AV ČR project 2010-2012(XE) Complexity of Neural-Network and Kernel Computational Models
    Institutional research plan: CEZ:AV0Z10300504
    Keywords : linear approximation schemes * variable-basis approximation schemes * model complexity * worst-case errors * neural networks * kernel models
    Subject RIV: IN - Informatics, Computer Science
    Impact factor: 2.182, year: 2011
    Permanent Link: http://hdl.handle.net/11104/0190434
     
     


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