Počet záznamů: 1
Some Comparisons of Complexity in Dictionary-Based and Linear Computational Models
- 1.0350421 - ÚI 2011 RIV GB eng J - Článek v odborném periodiku
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
Grant CEP: GA ČR GA201/08/1744
Grant ostatní: CNR - AV ČR project 2010-2012(XE) Complexity of Neural-Network and Kernel Computational Models
Výzkumný záměr: CEZ:AV0Z10300504
Klíčová slova: linear approximation schemes * variable-basis approximation schemes * model complexity * worst-case errors * neural networks * kernel models
Kód oboru RIV: IN - Informatika
Impakt faktor: 2.182, rok: 2011
Citováno: 4
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--- LOYOLA, R.D.G. - PEDERGNANA, M. - GARCIA, S.G. Smart sampling and incremental function learning for very large high dimensional data. NEURAL NETWORKS. ISSN 0893-6080, JUN 2016, vol. 78, SI, p. 75-87. [WOS]
--- CARNEIRO, H.C.C. - FRANCA, F.M.G. - LIMA, P.M.V. Multilingual part-of-speech tagging with weightless neural networks. NEURAL NETWORKS. ISSN 0893-6080, JUN 2015, vol. 66, p. 11-21. [WOS]
--- ANDRAS, P. High-Dimensional Function Approximation With Neural Networks for Large Volumes of Data. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS. ISSN 2162-237X, FEB 2018, vol. 29, no. 2, p. 500-508. [WOS]
Trvalý link: http://hdl.handle.net/11104/0190434
Počet záznamů: 1