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
> why not simply "imbalanced datasets" or "datasets with imbalanced classes"?

I tried to be more explicit in the description :-), I thought the meaning of  "imbalanced" wouldn't be so clear when we don't refer to the notion of unbalanced class frequency ratios.
Thanks.