Based on the initial dataset, X, the corresponding feature values, Y, are measured by NDT inspection (via human or autonomous robots). Then, the Bayesian Optimization (BO) loop is performed for ...
The presentation below, “Using Bayesian Optimization to Tune Machine Learning Models” by Scott Clark of SigOpt is from MLconf. The talk briefly introduces Bayesian Global Optimization as an efficient ...
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