Parameter-insensitive kernel in extreme learning for non-linear support vector regression

Neurocomputing

Volumn 74, Issue 16, 2011, Pages 2526-2531

  Frénay, Benoît ^a,b   Verleysen, Michel ^a  

^a UNIVERSITÉ CATHOLIQUE DE LOUVAIN   (Belgium)

^b AALTO UNIVERSITY   (Finland)

Author keywords

ELM kernel; Extreme learning machine; Infinite number of neurons; Support vector regression

Indexed keywords

ELM KERNEL; EXTREME LEARNING MACHINE; INFINITE NUMBERS; KERNEL PARAMETER; MONTE CARLO; NON-LINEAR; STATE-OF-THE-ART METHODS; SUPPORT VECTOR REGRESSION; SUPPORT VECTOR REGRESSIONS;

COMPUTATIONAL COMPLEXITY;

REGRESSION ANALYSIS;

ARTICLE; CONTROLLED STUDY; INTERMETHOD COMPARISON; KERNEL METHOD; MATHEMATICAL COMPUTING; NONLINEAR SYSTEM; PARAMETRIC TEST; PRIORITY JOURNAL; SUPPORT VECTOR MACHINE;

EID: 80051670315     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2010.11.037     Document Type: Article

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