Can Dictionary-based Computational Models Outperform the Best Linear Ones?

0360287 - ÚI 2012 RIV GB eng J - Journal Article
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
R&D Projects: GA MŠMT OC10047
Grant - others:CNR - AV ČR project 2010-2012(XE) Complexity of Neural-Network and Kernel Computational Models
Institutional research plan: CEZ:AV0Z10300504
Keywords : dictionary-based approximation * linear approximation * rates of approximation * worst-case error * Kolmogorov width * perceptron networks
Subject RIV: IN - Informatics, Computer Science
Impact factor: 2.182, year: 2011
Permanent Link: http://hdl.handle.net/11104/0197874