Structured sparsity regularization
id:
structured-sparsity-regularization-246-13318064
title:
Structured sparsity regularization
text:
Structured sparsity regularization is a class of methods, and an area of research in statistical learning theory, that extend and generalize sparsity regularization learning methods. Both sparsity and structured sparsity regularization methods seek to exploit the assumption that the output variable Y to be learned can be described by a reduced number of variables in the input space X . Sparsity regularization methods focus on selecting the input variables that best describe the output. Structure
brand slug:
wiki
category slug:
encyclopedia
description:
original url:
https://en.wikipedia.org/wiki/Structured_sparsity_regularization
date created:
date modified:
2023-10-26T20:48:38Z
main entity:
{"identifier":"Q25111890","url":"https://www.wikidata.org/entity/Q25111890"}
image:
fields total:
13
integrity:
13