Skip to main navigation Skip to search Skip to main content

OP-ELM: Optimally pruned extreme learning machine

  • Yoan Miche
  • , Antti Sorjamaa
  • , Patrick Bas
  • , Olli Simula
  • , Christian Jutten
  • , Amaury Lendasse
  • Gipsa-Lab
  • Aalto University

Research output: Contribution to journalArticlepeer-review

Original languageEnglish
Article number5350449
Pages (from-to)158-162
Number of pages5
JournalIEEE Transactions on Neural Networks
Volume21
Issue number1
DOIs
StatePublished - Jan 2010
Externally publishedYes

ASJC Scopus Subject Areas

  • Software
  • Computer Science Applications
  • Computer Networks and Communications
  • Artificial Intelligence

Keywords

  • Classification
  • Extreme learning machine (ELM)
  • Least angle regression (LARS)
  • Optimally pruned extreme learning machine (OP-ELM)
  • Regression
  • Variable selection

Fingerprint

Dive into the research topics of 'OP-ELM: Optimally pruned extreme learning machine'. Together they form a unique fingerprint.

Cite this