GSoC 2014: Standard Extreme Learning Machines

Finished implementing the standard extreme learning machines (ELMs). I am getting the following results with 550 hidden neurons against the digits datasets,

Training accuracy using the logistic activation function: 0.999444
Training accuracy using the tanh activation function: 1.000000

Fortunately, this algorithm is much easier to implement and debug than multi-layer perceptron :).
I will push a test file soon.

@ogrisel , @larsmans
I'm intrigued! -- I propose to finish my current PR before looking into this though, since it is already quite big. But I think it may pave the way for this type of thing though. Is there any reference I could use to read up on this? There has to be a way to get the intercept to work as well (in analogy to what @kastnerkyle  did for IncrementalPCA)