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Abstract: Supervised latent variable regression methods such as partial least squares (PLS) and dynamic PLS have found wide applications in data analytics, quality prediction, and fault monitoring in ...
Abstract: Bayesian optimization (BO) is a popular method for solving expensive black-box problems. However, when the dimension of the problem increases, the performance of BO decreases dramatically.
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