Abstract: This work demonstrates the potential of the proposed Bayesian optimization (BO). It is based on neural architecture search (NAS) for the classification of gases/odors for datasets of diverse ...
Abstract: Preferential Bayesian optimization (PBO) is a framework for human-in-the-loop optimization to maximize black-box human preference functions such as seeking perceptually good visual designs.
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