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- 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/11104/0262113File Download Size Commentary Version Access a0462723.pdf 4 380.4 KB Publisher’s postprint require - 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/11104/0247392File Download Size Commentary Version Access 0444960.pdf 2 595.6 KB Author´s preprint open-access a0444960.pdf 5 225.1 KB Publisher’s postprint require - 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/11104/0195612File Download Size Commentary Version Access a0357302.pdf 0 221.3 KB Publisher’s postprint require - 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