The proposal looks good to me! A few small comments:
1. I'm confused by the paragraph on regularized ELMs: I think you mean that
in cases where the hidden weights (the classifier?) are *underdetermined*
because there are far more *unknowns* then *samples* then you need to
regularize somehow. (Right!?)
2. Testing: no mention of how you will test any of this work. It's hard to
know when an ML algorithm is implemented well. How will you know? Usually
reproducing published results is a good bar to aim for, which ones do you
have in mind? E.g. if there are some results in your PhD thesis that you
want to reproduce, then mention that. How long does it take to train such
things, do you need access to big computers?
3. If you are just now completing your Masters degree on such models, you
might want to mention that in your proposal's "Past Work" section :)
On Fri, Mar 21, 2014 at 7:54 AM, Issam <issamo...@gmail.com> wrote:
> Hi all,
>
> I updated the Neural Network proposal in melange,
>
>
> http://www.google-melange.com/gsoc/proposal/public/google/gsoc2014/issamou/5668600916475904
>
> Thank you.
>
> ~Issam
>
>
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applications. Written by three acclaimed leaders in the field,
this first edition is now available. Download your free book today!
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