An Active Learning Methodology for Efficient Estimation of Expensive Noisy Black-Box Functions Using Gaussian Process Regression
Estimation of black-box functions often requires evaluating an extensive number of expensive noisy points.Learning algorithms can outer banks pura vida actively compare the similarity between the evaluated and unevaluated points to determine the most informative subsequent points for efficient estimation of expensive functions in a sequential proce