Flow electrosynthesis has attracted increasing attention as a green and sustainable manufacturing method. However, it is still a challenging undertaking to determine the appropriate experimental ...

Design of a Bayesian Optimization Library In this tutorial, we look at the design of spidr's Bayesian optimization functionality - functionality that uses historic data to optimize a black-box ...

Bayesian optimization (BO) is a framework for global optimization of expensive-to-evaluate objective functions. Classical BO methods assume that the objective function is a black box. However, ...

Bayesian Optimization: Approximate to the optimum of an expensive Black Box system by using a cheap surrogate model This code demonstrates the use of Bayesian optimization to approximate the optimal ...

Our study outlines the proof-of-principle that neuroimaging models for brain-age prediction can use Bayesian optimization to derive case-specific pre-processing parameters. Our results suggest that ...