Regularized Extreme Learning Machine

Abstract

Extreme Learning Machine proposed by Huang G-B has attracted many attentions for its extremely fast training speed and good generalization performance. But it still can be considered as empirical risk minimization theme and tends to generate over-fitting model. Additionally, since ELM doesn't considering heteroskedasticity in real applications, its… (More)
DOI: 10.1109/CIDM.2009.4938676

Topics

4 Figures and Tables

Slides referencing similar topics