How does Active Learning, often coupled with Bayesian Optimization, impact the experimental phase of the cycle?
Answer
It guides which experiment should be performed next to maximize the information gained.
Active Learning strategies, leveraging probabilistic models like Gaussian Processes in Bayesian Optimization, are designed to select the next most informative sample point, balancing exploitation of known good areas with exploration of uncertain regions.
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