Skip to main navigation Skip to search Skip to main content

Feature selection for nonlinear models with extreme learning machines

  • Frénay Benoît
  • , Mark van Heeswijk
  • , Yoan Miche
  • , Michel Verleysen
  • , Amaury Lendasse
  • Université catholique de Louvain
  • Aalto University
  • Ikerbasque Basque Foundation for Science
  • University of the Basque Country

Research output: Contribution to journalArticlepeer-review

Original languageEnglish
Pages (from-to)111-124
Number of pages14
JournalNeurocomputing
Volume102
DOIs
StatePublished - Feb 15 2013
Externally publishedYes

ASJC Scopus Subject Areas

  • Computer Science Applications
  • Cognitive Neuroscience
  • Artificial Intelligence

Keywords

  • Extreme learning machines
  • Feature selection
  • Regression
  • Regularisation

Fingerprint

Dive into the research topics of 'Feature selection for nonlinear models with extreme learning machines'. Together they form a unique fingerprint.

Cite this