A Gaussian Process (GP) is a prominent mathematical framework for stochastic function approximation in science and engineering applications. Its success is largely attributed to the GP’s analytical ...
Bayesian optimization-based active learning has been widely used in materials design fields. Its core lies in the usage of Bagging or Gaussian Processes model-based Expected Improvement strategies.
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