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- 1.0493293 - ÚI 2019 RIV IE eng C - Conference Paper (international conference)
Šabata, T. - Pulc, Petr - Holeňa, Martin
Semi-supervised and Active Learning in Video Scene Classification from Statistical Features.
ECML PKDD 2018: Workshop on Interactive Adaptive Learning. Proceedings. Dublin, 2018 - (Krempl, G.; Lemaire, V.; Kottke, D.; Calma, A.; Holzinger, A.; Polikar, R.; Sick, B.), s. 24-35
[ECML PKDD 2018: The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Dublin (IE), 10.09.2018-14.09.2018]
R&D Projects: GA ČR(CZ) GA18-18080S
Institutional support: RVO:67985807
Keywords : video data * scene classification * semi-supervised learning * active learning * colour statistics * feedforward neural networks
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/11104/0286680File Download Size Commentary Version Access a0493293.pdf 13 602.4 KB Sborník dostupný online. Publisher’s postprint open-access - 2.0449922 - ÚI 2016 RIV SK cze C - Conference Paper (international conference)
Kůrková, Věra
Modelová složitost neuronových sítí - zdánlivý paradox.
[Model Complexity of Neural Networks - a Seeming Paradox.]
Kognícia a umelý život 2015. Bratislava: Univerzita Komenského v Bratislave, 2015 - (Farkaš, I.; Takáč, M.; Rybár, J.; Kelemen, J.), s. 102-106. ISBN 978-80-223-3875-2.
[Kognícia a umelý život /15./. Trenčianske Teplice (SK), 25.05.2015-28.05.2015]
R&D Projects: GA MŠMT(CZ) LD13002
Institutional support: RVO:67985807
Keywords : model complexity of feedforward neural networks * one-hidden-layer networks * concentration of measure
Subject RIV: IN - Informatics, Computer Science
http://cogsci.fmph.uniba.sk/kuz2015/zbornik/prispevky/kurkova.pdf
Permanent Link: http://hdl.handle.net/11104/0251322File Download Size Commentary Version Access a0449922.pdf 2 2.2 MB Publisher’s postprint require 0449922.pdf 1 762.7 KB Author´s preprint open-access - 3.0404634 - UIVT-O 20020043 CZ eng V - Research Report
Kůrková, Věra - Sanguineti, M.
Covering Numbers and Rates of Neural-Network Approximation.
Prague: ICS AS CR, 2001. 7 s. Technical Report, V-830.
R&D Projects: GA ČR GA201/00/1489
Grant - others:NATO(XE) PST.CLG.976870
Institutional research plan: AV0Z1030915
Keywords : nonlinear approximation * rates of approximation * variable-basis approximation * feedforward neural networks * covering numbers
Subject RIV: BA - General Mathematics
Permanent Link: http://hdl.handle.net/11104/0124875File Download Size Commentary Version Access v830-01.pdf 18 312.4 KB Other open-access - 4.0404322 - UIVT-O 20020234 RIV GB eng C - Conference Paper (international conference)
Kůrková, Věra
Universality and Complexity of Approximation of Multivariable Functions by Feedforward Networks.
Soft Computing and Industry. Recent Applications. London: Springer, 2002 - (Roy, R.; Köppen, M.; Ovaska, S.; Furuhashi, T.; Hoffmann, F.), s. 13-24. ISBN 978-1-4471-1101-6.
[Online World Conference on Soft Computing in Industrial Applications /6./. On the Internet (XX), 10.10.2001-24.10.2001]
R&D Projects: GA ČR GA201/00/1482
Institutional research plan: AV0Z1030915
Keywords : feedforward neural networks * approximation of multivariable functions * network complexity
Subject RIV: BA - General Mathematics
Permanent Link: http://hdl.handle.net/11104/0124581 - 5.0404317 - UIVT-O 20010101 RIV US eng C - Conference Paper (international conference)
Neruda, Roman
Neural Network Weight Space Symmetries can Speed up Genetic Learining.
Advances in Neural Scientific Computing, Computational Intelligence and Applications. World Scientific and Engineering Society Press, 2001 - (Mastorakis, N.; Mladenov, V.; Suter, B.; Wang, L.), s. 228-233. Mathematics and Computers in Science and Engineering. ISBN 960-8052-36-X.
[World Multi-Conference on Circuits, Systems, Communications and Computeers /5./. Rethymno (GR), 08.07.2001-15.07.2001]
R&D Projects: GA ČR GA201/99/P057; GA ČR GA201/99/0092; GA ČR GA201/01/1192
Institutional research plan: AV0Z1030915
Keywords : feedforward neural networks * genetic learning algorithms
Subject RIV: BA - General Mathematics
Permanent Link: http://hdl.handle.net/11104/0124576 - 6.0404205 - UIVT-O 20010065 RIV DE eng C - Conference Paper (international conference)
Neruda, Roman - Štědrý, Arnošt - Drkošová, Jitka
Implementation of Kolmogorov Learning Algorithm for Feedforward Neural Networks.
Proceedings. Part II. Berlin: Springer, 2001 - (Alexandrov, V.; Dongarra, J.; Juliano, B.; Renner, R.; Tan, J.), s. 986-995. Lecture Notes in Computer Science, 2074. ISBN 3-540-42233-1. ISSN 0302-9743.
[International Conference of Computer Science ICCS 2001. San Francisco (US), 28.05.2001-30.05.2001]
R&D Projects: GA AV ČR IAB1030006; GA AV ČR IAA2030801; GA ČR GA201/99/0092
Institutional research plan: AV0Z1030915
Keywords : feedforward neural networks * Kolmogorov theorem * time complexity
Subject RIV: BA - General Mathematics
Permanent Link: http://hdl.handle.net/11104/0124471 - 7.0403482 - UIVT-O 980098 RIV CZ eng C - Conference Paper (international conference)
Pelikán, Emil
Neural Network Predictions in the Czech Republic: Energy, Transportation, Banking and Environment.
Nostradamus'98. 1st Prediction Workshop on Prediction, Behavior of Dynamics Systems and its Applications in Control Theory, Physics, Chemistry, Economy, and More.... Brno: Technical University, 1998 - (Zelinka, I.), s. 37-43. ISBN 80-214-1222-4.
[Nostradamus Prediction Workshop. Zlín (CZ), 22.09.1998-23.09.1998]
Grant - others:MŽP(CZ) ZZ/520/2/97; MŠMT(CZ) VS96038
Program: ZZ
Keywords : feedforward neural networks * Kohonen self organizing maps * electric load prediction * exchange rate prediction * traffic flow prediction * ozone episode prediction
Subject RIV: BB - Applied Statistics, Operational Research
Permanent Link: http://hdl.handle.net/11104/0123787 - 8.0398349 - ÚI 2014 RIV DE eng M - Monography Chapter
Kůrková, Věra
Accuracy of surrogate solutions of integral equations by feedforward networks.
Issues and Challenges of Intelligent Systems and Computational Intelligence. Cham: Springer, 2014 - (Kóczy, L.; Pozna, C.; Kacprzyk, J.), s. 91-102. Studies in Computational Intelligence, 530. ISBN 978-3-319-03205-4
R&D Projects: GA ČR GAP202/11/1368; GA MŠMT(CZ) LD13002
Institutional support: RVO:67985807
Keywords : surrogate modeling by neural networks * approximate solutions of integral equations * feedforward neural networks * model complexity * rates of approximation
Subject RIV: IN - Informatics, Computer Science
Permanent Link: http://hdl.handle.net/11104/0225861 - 9.0389184 - ÚI 2014 RIV DE eng M - Monography Chapter
Kainen, P.C. - Kůrková, Věra - Sanguineti, M.
Approximating Multivariable Functions by Feedforward Neural Nets.
Handbook on Neural Information Processing. Berlin: Springer, 2013 - (Bianchini, M.; Maggini, M.; Jain, L.), s. 143-181. Intelligent Systems Reference Library, 49. ISBN 978-3-642-36656-7
R&D Projects: GA ČR GAP202/11/1368; GA MŠMT(CZ) ME10023
Grant - others:CNR-AV ČR(CZ) Project 2010–2012 “Complexity of Neural-Network and Kernel Computational Models
Institutional support: RVO:67985807
Keywords : multivariable approximation * feedforward neural networks * network complexity * approximation rates * variational norm * best approximation * tractability of approximation
Subject RIV: IN - Informatics, Computer Science
Permanent Link: http://hdl.handle.net/11104/0218068