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Bounds on Sparsity of One-Hidden-Layer Perceptron Networks

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F17%3A00478625" target="_blank" >RIV/67985807:_____/17:00478625 - isvavai.cz</a>

  • Result on the web

    <a href="http://ceur-ws.org/Vol-1885/100.pdf" target="_blank" >http://ceur-ws.org/Vol-1885/100.pdf</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Bounds on Sparsity of One-Hidden-Layer Perceptron Networks

  • Original language description

    Limitations of one-hidden-layer (shallow) perceptron networks to sparsely represent multivariable functions is investigated. A concrete class of functions is described whose computation by shallow perceptron networks requires either large number of units or is unstable due to large output weights. The class is constructed using pseudo-noise sequences which have many features of random sequences but can be generated using special polynomials. Connections with the central paradox of coding theory are discussed.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    <a href="/en/project/GA15-18108S" target="_blank" >GA15-18108S: Model complexity of neural, radial, and kernel networks</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2017

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings ITAT 2017: Information Technologies - Applications and Theory

  • ISBN

    978-1974274741

  • ISSN

    1613-0073

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    100-105

  • Publisher name

    Technical University & CreateSpace Independent Publishing Platform

  • Place of publication

    Aachen & Charleston

  • Event location

    Martinské hole

  • Event date

    Sep 22, 2017

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article