Počet záznamů: 1

Dependence of Computational Models on Input Dimension: Tractability of Approximation and Optimization Tasks

  1. 1.
    0368521 - UIVT-O 2012 RIV US eng J - Článek v odborném periodiku
    Kainen, P.C. - Kůrková, Věra - Sanguineti, M.
    Dependence of Computational Models on Input Dimension: Tractability of Approximation and Optimization Tasks.
    IEEE Transactions on Information Theory. Roč. 58, č. 2 (2012), s. 1203-1214 ISSN 0018-9448
    Grant CEP: GA MŠk(CZ) ME10023; GA ČR GA201/08/1744; GA ČR GAP202/11/1368
    Grant ostatní: CNR-AV ČR(CZ-IT) Project 2010–2012 Complexity of Neural-Network and Kernel Computational Models
    Výzkumný záměr: CEZ:AV0Z10300504
    Klíčová slova: dictionary-based computational models * high-dimensional approximation and optimization * model complexity * polynomial upper bounds
    Kód oboru RIV: IN - Informatika
    Impakt faktor: 2.621, rok: 2012

    The role of input dimension is studied in approximating, in various norms, target sets of d-variable functions using linear combinations of adjustable computational units. Results are applied to approximation and solution of optimization problems by neural networks with perceptron and Gaussian radial computational units.
    Trvalý link: http://hdl.handle.net/11104/0202846