Representer theorem
id:
representer-theorem-200-16104523
title:
Representer theorem
text:
For computer science, in statistical learning theory, a representer theorem is any of several related results stating that a minimizer f ∗ of a regularized empirical risk functional defined over a reproducing kernel Hilbert space can be represented as a finite linear combination of kernel products evaluated on the input points in the training set data.
brand slug:
wiki
category slug:
encyclopedia
description:
original url:
https://en.wikipedia.org/wiki/Representer_theorem
date created:
date modified:
2023-11-13T01:42:51Z
main entity:
{"identifier":"Q7314263","url":"https://www.wikidata.org/entity/Q7314263"}
image:
fields total:
13
integrity:
13