Approximation of Binary-Valued Functions by Networks of Finite VC Dimension

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F23%3A00577075" target="_blank" >RIV/67985807:_____/23:00577075 - isvavai.cz</a>

Result on the web

<a href="https://dx.doi.org/10.1007/978-3-031-44207-0_40" target="_blank" >https://dx.doi.org/10.1007/978-3-031-44207-0_40</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-031-44207-0_40" target="_blank" >10.1007/978-3-031-44207-0_40</a>

Result language

angličtina

Original language name

Approximation of Binary-Valued Functions by Networks of Finite VC Dimension

Original language description

Distributions of errors in approximation of binary-valued functions by networks with sets of input-output functions of finite VC dimension is investigated. Conditions on concentration of approximation errors around their mean values are derived in terms of growth functions of sets of input-output functions. Limitations of approximation capabilities of networks of finite VC dimension are discussed.

Czech name

—

Czech description

—

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)

Project

<a href="/en/project/GA22-02067S" target="_blank" >GA22-02067S: AppNeCo: Approximate Neurocomputing</a><br>

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2023

Confidentiality

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

Article name in the collection

Artificial Neural Networks and Machine Learning – ICANN 2023. Proceedings, Part I

ISBN

978-3-031-44206-3

ISSN

0302-9743

e-ISSN

—

Number of pages

8

Pages from-to

483-490

Publisher name

Springer

Place of publication

Cham

Event location

Heraklion

Event date

Sep 26, 2023

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

001156955400040