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.
Abstract: In this letter, we propose the B-GHF framework, an end-to-end collision state inference method based on a Bayesian framework that does not rely on external force/torque (F/T) sensors in the ...
Introduction After the WHO prequalified the first vaccine against mpox, we aimed to identify the influence of vaccine ...
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