Search results
- 1.0402768 - UIVT-O 960089 US eng C - Conference Paper (international conference)
Kůrková, Věra - Kainen, P.C.
A Geometric Method to Obtain Error-Correcting Classification by Neural Networks with Fewer Hidden Units.
ICNN. The 1996 IEEE International Conference on Neural Networks. Piscataway: IEEE, 1996, s. 1227-1232. ISBN 0-7803-3210-5.
[ICNN. Washington (US), 03.06.1996-06.06.1996]
R&D Projects: GA ČR GA201/93/0427; GA ČR GA201/96/0971
Keywords : neural network * approximation accuracy
Permanent Link: http://hdl.handle.net/11104/0123151 - 2.0402544 - UIVT-O 950128 US eng C - Conference Paper (international conference)
Sirisaengtaksin, O. - Kainen, P.C. - Kreinovich, V. - Kůrková, Věra
For Neural Networks, Even Approximate Function Determines Form.
Proceedings of Neural, Parallel and Scientific Computations. Vol. 1. Dynamic Publishers Inc, 1995 - (Aityan, S.; Grujic, L.; Hathaway, R.; Ladde, G.; Medhin, N.; Sambandham, M.), s. 424-426
[International Conference on Neural, Parallel, and Scientific Computations /1./. Atlanta (US), 28.05.1995-31.05.1995]
Keywords : neural networks * approximation of functions * bounded number of hidden units
Permanent Link: http://hdl.handle.net/11104/0122949 - 3.0402312 - UIVT-O 950062 US eng C - Conference Paper (international conference)
Kůrková, Věra - Kainen, P.C. - Kreinovich, V.
Dimension-Independent Rates of Approximation by Neural Networks and Variation with Respect to Half-Spaces.
Proceedings of World Congress on Neural Networks 1995. Vol. 1. Washington: INNS Press, 1995, s. 54-57. ISBN 0-8058-2125-2.
[WCNN'95. Washington (US), 17.07.1995-21.07.1995]
R&D Projects: GA ČR GA201/93/0427
Keywords : approximation of functions * neural network
Permanent Link: http://hdl.handle.net/11104/0122719 - 4.0402003 - UIVT-O 940010 US eng C - Conference Paper (international conference)
Kůrková, Věra - Kainen, P.C.
Affinely Recursive Functions and Neural Networks.
Proceedings of the 14th IMACS World Congress on Computation and Applied Mathematics. Vol. 2. Applications of Computing, Fluid Mechanics, Acoustics, Solid Mechanics, Neural Networks. Atlanta: Georgia Institute of Technology, 1994 - (Ames, W.), s. 776-779
[IMACS World Congress /14./. Atlanta (US), 11.07.1994-15.07.1994]
R&D Projects: GA AV ČR IA23057; GA ČR GA201/93/0427
Keywords : neural networks * affinely recursive functions
Permanent Link: http://hdl.handle.net/11104/0122424 - 5.0401905 - UIVT-O 930043 US eng C - Conference Paper (international conference)
Kůrková, Věra - Kainen, P.C.
Error-Correcting Classification by Feedforward Networks.
World Congress on Neural Networks. Vol. IV. New Jersey: Lawrence Erlbaum Associates, 1993, s. 80-83. ISBN 0-8058-1479-3.
[WCNN'93. World Congress on Neural Networks. Portland-Hillsdale (US), 11.07.1993-15.07.1993]
Permanent Link: http://hdl.handle.net/11104/0122334 - 6.0357302 - 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 - 7.0339929 - ÚI 2010 RIV DE eng C - Conference Paper (international conference)
Kainen, P.C. - Kůrková, Věra - Sanguineti, M.
Estimates of Approximation Rates by Gaussian Radial-Basis Functions.
Adaptive and Natural Computing Algorithms. Vol. 2. Berlin: Springer, 2007 - (Beliczynski, B.; Dzielinski, A.; Iwanowski, M.; Ribeiro, B.), s. 11-18. Lecture Notes in Computer Science, 4432. ISBN 978-3-540-71590-0.
[ICANNGA'2007 /8./. Warsaw (PL), 11.04.2007-14.04.2007]
R&D Projects: GA ČR GA201/05/0557
Institutional research plan: CEZ:AV0Z10300504
Keywords : Gaussian Radial-basis function networks * network complexity * smoothing operators
Subject RIV: IN - Informatics, Computer Science
Permanent Link: http://hdl.handle.net/11104/0183298 - 8.0326645 - ÚI 2010 RIV DE eng C - Conference Paper (international conference)
Kainen, P.C. - Kůrková, Věra - Sanguineti, M.
On Tractability of Neural-Network Approximation.
[O tvárnosti neuronových sítí.]
Adaptive and Natural Computing Algorithms. Berlin: Springer, 2009 - (Kolehmainen, M.; Toivanen, P.; Beliczynski, B.), s. 11-21. Lecture Notes in Computer Science, 5495. ISBN 978-3-642-04920-0.
[ICANNGA'2009. International conference /9./. Kuopio (FI), 23.04.2009-25.04.2009]
R&D Projects: GA AV ČR 1ET100300517
Grant - others:the 2007–2009 Scientific Agreement among University of Genoa, National Research Council of Italy, and Academy of Sciences of the Czech Republic(CZ-IT) Scientific Agreement
Institutional research plan: CEZ:AV0Z10300504
Keywords : approximation by neural networks * Gaussian radial networks * estimates of network complexity
Subject RIV: IN - Informatics, Computer Science
Permanent Link: http://hdl.handle.net/11104/0173683 - 9.0311285 - ÚI 2009 RIV DE eng C - Conference Paper (international conference)
Kainen, P.C. - Kůrková, Věra
Estimates of Network Complexity and Integral Representations.
[Odhady složitosti sítí a integrální reprezentace.]
Artificial Neural Networks - ICANN 2008. Vol. Part I. Berlin: Springer, 2008 - (Kůrková, V.; Neruda, R.; Koutník, J.), s. 31-40. Lecture Notes in Computer Science, 5163. ISBN 978-3-540-87535-2.
[ICANN 2008. International Conference on Artificial Neural Networks /18./. Prague (CZ), 03.09.2008-06.09.2008]
R&D Projects: GA MŠMT(CZ) 1M0567
Institutional research plan: CEZ:AV0Z10300504
Keywords : rates of approximation by neural networks * integral representations * Bochner integral
Subject RIV: IN - Informatics, Computer Science
Permanent Link: http://hdl.handle.net/11104/0162939