Ruben Martinez-Cantin  committed f1c6324

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 This is an efficient, C++ implementation of several Bayesian optimization
 algorithms. See References for some of the papers.
+Appart from the standard C++ interface, it also provides interfaces with plain C, Python and Matlab.
 Basically, it combines the use of an stochastic process as a surrogate function
 with the use of some "active learning" criterion. to find the optimum an "arbitrary" 
 function using very few iterations.