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Extreme learning machine for missing data using multiple imputations

  • Dušan Sovilj
  • , Emil Eirola
  • , Yoan Miche
  • , Kaj Mikael Björk
  • , Rui Nian
  • , Anton Akusok
  • , Amaury Lendasse
  • Arcada University of Applied Sciences
  • University of Iowa
  • Nokia-Siemens Networks
  • Ocean University of China

Research output: Contribution to journalArticlepeer-review

Original languageEnglish
Pages (from-to)220-231
Number of pages12
JournalNeurocomputing
Volume174
DOIs
StatePublished - Jan 22 2016
Externally publishedYes

ASJC Scopus Subject Areas

  • Computer Science Applications
  • Cognitive Neuroscience
  • Artificial Intelligence

Keywords

  • Conditional distribution
  • Extreme Learning Machine
  • Gaussian mixture model
  • Missing data
  • Mixture of Gaussians
  • Multiple imputation

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