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Seeing Bayesian Optimization in Action: An Animated MATLAB Example

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Bayesian optimization is an iterative process that starts with prior beliefs about the objective function to be estimated, including its smoothness and other characteristics. Over time, it collects more evidence through an acquisition function to refine its initial beliefs about the objective function.