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0572576 - ÚI 2024 RIV GB eng J - Journal Article
Kůrková, Věra - Sanguineti, M.
Approximation of Classifiers by Deep Perceptron Networks.
Neural Networks. Roč. 165, August 2023 (2023), s. 654-661. ISSN 0893-6080. E-ISSN 1879-2782
R&D Projects: GA ČR(CZ) GA22-02067S
Institutional support: RVO:67985807
Keywords : Approximation by deep networks * Probabilistic bounds on approximation errors * Random classifiers * Concentration of measure * Method of bounded differences * Growth functions
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Impact factor: 7.8, year: 2022
Method of publishing: Limited access
https://dx.doi.org/10.1016/j.neunet.2023.06.004
Permanent Link: https://hdl.handle.net/11104/0343221
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0340726 - ÚCHP 2010 GB eng C - Conference Paper (international conference)
Smolík, Jiří - Ždímal, Vladimír - Schwarz, Jaroslav - Brus, David - Lazaridis, M.
Characterisation of Indoor/Outdoor PM in Suburban Area of Prague: Time and Size Resolved PM Concentrations.
Journal of Aerosol Science. Vol. 2. Oxford: Pergamon-Elsevier, 2004, S741-S742. ISSN 0021-8502. E-ISSN 1879-1964.
[European Aerosol Conference EAC 2004. Budapest (HU), 06.09.2004-10.09.2004]
R&D Projects: GA ČR GA101/04/1190
Grant - others:EVK4(XE) CT/2000/00018; EVK4(XE) CT/2002/0090
Institutional research plan: CEZ:AV0Z4072921
Keywords : indoor/outdoor particles * number concentrations
Subject RIV: CF - Physical ; Theoretical Chemistry
Permanent Link: http://hdl.handle.net/11104/0183912