Výsledky vyhledávání
- 1.0549873 - ÚI 2023 RIV CH eng M - Část monografie knihy
Kůrková, Věra
Some Implications of Interval Approach to Dimension for Network Complexity.
Computational Intelligence and Mathematics for Tackling Complex Problems 2. Cham: Springer, 2022 - (Cornejo, M.; Kóczy, L.; Medina-Moreno, J.; Moreno-García, J.), s. 113-119. Studies in Computational Intelligence, 955. ISBN 978-3-030-88816-9
Grant CEP: GA ČR(CZ) GA18-23827S
Institucionální podpora: RVO:67985807
Klíčová slova: Quasiorthogonal dimension * Sparsity of feedforward networks * High-dimensional geometry * Concentration of measure * Covering numbers
Obor OECD: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Trvalý link: http://hdl.handle.net/11104/0325766 - 2.0521198 - ÚI 2021 RIV CH eng M - Část monografie knihy
Kůrková, Věra
Limitations of Shallow Networks.
Recent Trends in Learning from Data. Cham: Springer, 2020 - (Oneto, L.; Navarin, N.; Sperduti, A.; Anguita, D.), s. 129-154. Studies in Computational Intelligence, 896. ISBN 978-3-030-43882-1
Grant CEP: GA ČR(CZ) GA18-23827S
Institucionální podpora: RVO:67985807
Klíčová slova: shallow and deep networks * model complexity * probabilistic lower bounds
Obor OECD: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Trvalý link: http://hdl.handle.net/11104/0307155 - 3.0485562 - ÚI 2021 RIV CH eng M - Část monografie knihy
Kůrková, Věra - Kainen, P.C.
Integral Transforms Induced by Heaviside Perceptrons.
Beyond Traditional Probabilistic Data Processing Techniques: Interval, Fuzzy, etc. Methods and Their Applications. Cham: Springer, 2020 - (Kosheleva, O.; Shary, S.; Xiang, G.; Zapatrin, R.), s. 631-649. Studies in Computational Intelligence, 835. ISBN 978-3-030-31040-0
Grant CEP: GA ČR GA15-18108S; GA ČR(CZ) GA18-23827S
Institucionální podpora: RVO:67985807
Klíčová slova: representations of functions by neural networks * Haeviside perceptrons * integral transforms
Obor OECD: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Trvalý link: http://hdl.handle.net/11104/0280525