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
"most" is too strong. There is no published experiments that involved ELMs on a wide variety of tasks with careful hyper parameter tuning AFAIK. Also there is [no free lunch](http://en.wikipedia.org/wiki/No_free_lunch_theorem).

Instead I would say: "In several empirical studies".