Article

Bayesian optimization with constraints based on explanation-based learning and its application in materials research

2022-09-12

Abstract excerpt

The present paper describes an algorithm for improving the convergence of Bayesian optimization (BO) using the constraints derived from symbolic learning and inference for observations by explanation-based learning (EBL). During the BO process, the constraints based on observations generalized by the domain knowledge (theory) of EBL are applied to maximization of the acquisition function, thereby improving the eff...

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Literature Corpus work: 21d0e0ea-5f4a-508f-85d9-4635e32d32ef
DOI: 10.21203/rs.3.rs-2042986/v1

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