About: Dependence of Computational Models on Input Dimension: Tractability of Approximation and Optimization Tasks     Goto   Sponge   Distinct   Permalink

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Description
  • 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.
  • 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. (en)
Title
  • Dependence of Computational Models on Input Dimension: Tractability of Approximation and Optimization Tasks
  • Dependence of Computational Models on Input Dimension: Tractability of Approximation and Optimization Tasks (en)
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  • Dependence of Computational Models on Input Dimension: Tractability of Approximation and Optimization Tasks
  • Dependence of Computational Models on Input Dimension: Tractability of Approximation and Optimization Tasks (en)
skos:notation
  • RIV/67985807:_____/12:00368521!RIV12-AV0-67985807
http://linked.open...avai/riv/aktivita
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  • P(GA201/08/1744), P(GAP202/11/1368), P(ME10023), Z(AV0Z10300504)
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  • 2
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  • 130097
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  • RIV/67985807:_____/12:00368521
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  • dictionary-based computational models; high-dimensional approximation and optimization; model complexity; polynomial upper bounds (en)
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  • US - Spojené státy americké
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  • [2BCC84D30DFF]
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  • IEEE Transactions on Information Theory
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  • 58
http://linked.open...iv/tvurceVysledku
  • Kůrková, Věra
  • Sanguineti, M.
  • Kainen, P. C.
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  • 000300246900047
http://linked.open...n/vavai/riv/zamer
issn
  • 0018-9448
number of pages
http://bibframe.org/vocab/doi
  • 10.1109/TIT.2011.2169531
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