Počet záznamů: 1
Can Dictionary-based Computational Models Outperform the Best Linear Ones?
- 1.0360287 - ÚI 2012 RIV GB eng J - Článek v odborném periodiku
Gnecco, G. - Kůrková, Věra - Sanguineti, M.
Can Dictionary-based Computational Models Outperform the Best Linear Ones?
Neural Networks. Roč. 24, č. 8 (2011), s. 881-887. ISSN 0893-6080. E-ISSN 1879-2782
Grant CEP: GA MŠMT OC10047
Grant ostatní: CNR - AV ČR project 2010-2012(XE) Complexity of Neural-Network and Kernel Computational Models
Výzkumný záměr: CEZ:AV0Z10300504
Klíčová slova: dictionary-based approximation * linear approximation * rates of approximation * worst-case error * Kolmogorov width * perceptron networks
Kód oboru RIV: IN - Informatika
Impakt faktor: 2.182, rok: 2011
Citováno: 2
--- ANDRAS, P. Function Approximation Using Combined Unsupervised and Supervised Learning. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS. ISSN 2162-237X, MAR 2014, vol. 25, no. 3, p. 495-505. [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]
Trvalý link: http://hdl.handle.net/11104/0197874
Počet záznamů: 1