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 would still use something different than sub. Noting, it's not entirely clear what would be the difference between a batch and a subset. Why do you think of H_acc / H_accumulated / H_all_batches / H_recursive / H_inc / H_incremental?