2013/2/5 Olivier Grisel <olivier.gri...@ensta.org>:
> Am I right to assume that the main reference for ELM is
> http://www.ntu.edu.sg/home/egbhuang/ ?

I've tried ELMs once. Apart from the hyped-up name, they're neural
nets with random input-to-hidden weights (a very old idea) and
least-squares fitting of the hidden-to-output weights. I could get
some interesting results on the digits dataset
(https://gist.github.com/larsmans/2493300) and they have the benefit
of having two hyperparameters and very fast training, but in my
experience the performance is very sensitive to the random seed.

@Gilles: SLFN = single-layer feedforward network (a very ELM-specific
acronym, AFAIK).

-- 
Lars Buitinck
Scientific programmer, ILPS
University of Amsterdam

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