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22 562 (0,084s)

Result

On Tractability of Neural-Network Approximation

The tractability of neural-network approximation is investigated. The dependence of worst-case errors on the number of variables is studied. Estimates for Gaussian radial-basis-function and perceptron networks are derived....

IN - Informatika

  • 2009
  • D
Result

Approximating Multivariable Functions by Feedforward Neural Nets

functions can be tractably approximated are described.Theoretical results on approximation of multivariable functions by feedforward neural networks are surveyed. Some proofs of universal approximation capabilitie...

IN - Informatika

  • 2013
  • C
  • Link
Result

Complexity of Gaussian-Radial-Basis Networks Approximating Smooth Functions

Estimates in terms of smoothness are derived for approximation rates by Gaussian radial-basis networks.

IN - Informatika

  • 2009
  • Jx
Result

A Class of Random Fields on Complete Graphs with Tractable Partition Function

potentials. We expect that these tractable classes of large scale random fields can be very useful for the evaluation of approximation algorithms by providing exact error......

JD - Využití počítačů, robotika a její aplikace

  • 2013
  • Jx
  • Link
Result

Finitely Tractable Promise Constraint Satisfaction Problems

of the Constraint Satisfaction Problem (CSP) that includes approximation variants, is not finitely tractable in that it can be solved by a trivial reduction to a tractable CSP tractability and characterizing finit...

Pure mathematics

  • 2021
  • D
  • Link
Result

Representations of highly-varying functions by perceptron networks

from approximation theory can play a role of a measure of such tractabilityTractability of representations of multivariable functions by perceptron networks is investigated. There are described classes of functions which c...

IN - Informatika

  • 2013
  • D
Result

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

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 optimiz...

IN - Informatika

  • 2012
  • Jx
  • Link
Result

Projection based algorithms for estimation of complex models

, however, it is analytically tractable only for a limited class of models. Various approximations must be used to achieve recursive estimation of complex models. In this paper, we apply the Projection Based (PB) approximation

BB - Aplikovaná statistika, operační výzkum

  • 2004
  • D
Result

The variational Bayes approximation in Bayesian filtering

The Variational Bayes (VB) approximation is applied in the context of Bayesian filtering, yielding a tractable on-line scheme for a wide range of non-stationary parametric models. This VB-filtering scheme is used to identify a Hidde...

BD - Teorie informace

  • 2006
  • D
Result

Representations of Highly-Varying Functions by One-Hidden-Layer Networks

be tractably represented by these networks, i.e., their representations require numbers the concept of variational norm from nonlinear approximation theory and the concentration......

IN - Informatika

  • 2014
  • D
  • Link
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