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86 116 (0,308s)

Result

Classification by Sparse Neural Networks

The choice of dictionaries of computational units suitable for efficient computation of binary classification tasks is investigated. To deal with exponentially of computational units. Bounds on th...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2019
  • Jimp
  • Link
Result

Sparsity and Complexity of Networks Computing Highly-Varying Functions

to dictionaries of computational units are investigated. Lower bounds on these norms of real of dictionaries of computational units in terms of their capacities and coherence measured by their co...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2018
  • D
  • Link
Result

Probabilistic Bounds on Complexity of Networks Computing Binary Classification Tasks

of dictionaries of computational units are discussed. of computational units. Probabilistic lower bounds on these norms are derived usingComplexity of feedforward networks computing binary classi...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2018
  • D
  • Link
Result

Computer's questions, standards, unit of mesure, measure, quality, sign (dictionary's words)

AO - Sociologie, demografie

  • 1997
  • X
Result

On the Way to a Monolingual Dictionary in the Computer Age

The paper focuses on comparison of some procedures and methods used in creating of the new Academic Dictionary of Contemporary Czech and the methods of monolingual of lexicographical work, methods used for giving the lexical meaning of lexic...

AI - Jazykověda

  • 2015
  • Jx
Result

Complexity estimates based on integral transforms induced by computational units

Integral transforms with kernels corresponding to computational units are exploited to derive estimates of network complexity. The estimates are obtained by combining tools from nonlinear approximation theory and functional analysis...

IN - Informatika

  • 2012
  • Jx
Result

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

Approximation capabilities of two types of computational models are explored: dictionary-based models (i.e., linear combinations of n-tuples of basis functions computable by units belonging to a set called "dic...

IN - Informatika

  • 2011
  • Jx
  • Link
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

Sparsity of Shallow Networks Representing Finite Mappings

domains and of sizes dictionaries of computational units on sparsity of networks computing finite mappings is explored. It is shown that when dictionary computation is unstable....

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2017
  • D
  • Link
Result

Limitations of Shallow Networks Representing Finite Mappings

of network sparsity and its approximate measures. It is shown that when a dictionary of computational units is not sufficiently large, computation of almost any uniformly randomlyLimitations of capabilities of sha...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2019
  • Jimp
  • Link
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