Model Complexities of Shallow Networks Representing Highly Varying Functions

0446410 - ÚI 2016 RIV NL eng J - Článek v odborném periodiku
Kůrková, Věra - Sanguineti, M.
Model Complexities of Shallow Networks Representing Highly Varying Functions.
Neurocomputing. Roč. 171, 1 January (2016), s. 598-604. ISSN 0925-2312. E-ISSN 1872-8286
Grant CEP: GA MŠMT(CZ) LD13002
Grant ostatní: grant for Visiting Professors(IT) GNAMPA-INdAM
Institucionální podpora: RVO:67985807
Klíčová slova: shallow networks * model complexity * highly varying functions * Chernoff bound * perceptrons * Gaussian kernel units
Kód oboru RIV: IN - Informatika
Impakt faktor: 3.317, rok: 2016

Citováno: 6

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--- VIDNEROVA, P. - NERUDA, R. Vulnerability of classifiers to evolutionary generated adversarial examples. NEURAL NETWORKS. ISSN 0893-6080, JUL 2020, vol. 127, p. 168-181. [WOS]
--- FARHOODI, R. - FILOM, K. - JONES, I.S. - KORDING, K.P. On Functions Computed on Trees. NEURAL COMPUTATION. ISSN 0899-7667, NOV 2019, vol. 31, no. 11, p. 2075-2137. [WOS]

Trvalý link: http://hdl.handle.net/11104/0248405