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
Indeed, how about the paragraph below? no backticks for **Setting C** and double ticks for ``C`` in the paragraph.
It would look a little awkward when we put double ticks in **Setting C**.
 * **Setting C**: if the dataset has few samples or if the samples are noisy, 
    decreasing ``C`` will increase regularization which in turn reduces 
    overfitting and might improve generalization. Increasing ``C`` will 
    therefore decrease regularization.

Thanks.