Věra Kůrková
id:
v-ra-k-rkov-285-15816733
title:
Věra Kůrková
text:
Věra Kůrková is a Czech mathematician and computer scientist, affiliated with the Institute of Computer Science of the Czech Academy of Sciences. Her research interests include neural networks, computational learning theory, and nonlinear approximation theory. She formulated the abstract concept of a variational norm in
1997 which puts ideas of Maurey, Jones, and Barron into the context of functional analysis. See V. Kůrková, Dimension-independent rates of approximation by neural networks.
In: W
brand slug:
wiki
category slug:
encyclopedia
description:
Czech mathematician and computer scientist
original url:
https://en.wikipedia.org/wiki/V%C4%9Bra_K%C5%AFrkov%C3%A1
date created:
date modified:
2021-03-29T18:50:01Z
main entity:
{"identifier":"Q27869516","url":"https://www.wikidata.org/entity/Q27869516"}
image:
fields total:
13
integrity:
14