Vĕra Kůrková - chapters and articles in books
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V. Kůrková: Estimates of Model Complexity in Neural-Network
Learning. In Innovations in Neural Infor. Paradigms & Appli., (Eds. M. Bianchini et al.) (pp. 97–111). SCI 247, 2009.
- V. Kůrková: Generalization in learning from examples. In
Challenges for Computational Intelligence SC 63 (Eds. W. Duch. J.
Mandziuk), pp. 343-363. Berlin, Heidelberg: Springer-Verlag, 2007.
- V. Kůrková: Učení neuronových sítí se
schopností generalizace. In Mysel', inteligencia a život (Eds.
V. Kvasnička, P. Trebatický, J. Pospíchal, J. Kelemen) (pp.
275-286). Bratislava: STU, 2007.
- V. Kůrková: Mappings between high-dimensional
representations in connectionistic systems. In Machine
Intelligence: Quo Vadis? (Eds. P. Sinčák, J.
Vasčák, K. Hirota) (pp. 31-45). Singapore: World
Scientific, 2004.
- V. Kůrková: Aproximace funkcí neuronovými
sítěmi. Chapter 8 in Umělá inteligence IV
(Eds. V. Mařík, O. Štěpánková, J.
Lažanský) (pp. 254-275). Praha: Academia, 2003.
- V. Kůrková: High-dimensional approximation and
optimization by neural networks. Chapter 4 in Advances in
Learning Theory: Methods, Models and Applications. (Eds. J.
Suykens et al.) (pp. 69-88). Amsterdam: IOS Press, 2003.
- V. Kůrková: Neural networks as universal
approximators. In The Handbook of Brain Theory and Neural
Networks II (Ed. M. Arbib) (pp. 1180-1183). Cambridge: MIT
Press, 2002.
- V. Kůrková: Universality and complexity of
approximation of multivariable functions by feedforward networks.
In Softcomputing and Industry: Recent Applications (Eds. R.
Roy, M. Koeppen, S. Ovaska, T. Furuhashi, F. Hoffmann) (pp.
13-24). London: Springer-Verlag, 2002.
- V. Kůrková: Rates of approximation by neural
networks. In Quo Vadis Computational Intelligence? (Eds. P.
Sinčák, J. Vasčák (pp. 23-36). Berlin:
Springer, 2000.
- V. Kůrková: Incremental approximation by neural
networks. Chapter 12 in Complexity: Neural Network Approach.
(Eds. K. Warwick, M. Kárný, V. Kůrková). (pp.
177-188). London: Springer-Verlag, 1998.
- V. Kůrková: Kolmogorov's theorem. In The
Handbook of Brain Theory and Neural Networks (Ed. M. Arbib)
(pp. 501-502). Cambridge: MIT Press, 1995.