Bayesian Optimization

Bayesian-Driven Learning of A New Weighted Tensor Norm for Tensor Recovery
This study addresses the performance limitations of t-SVD-based tensor recovery caused by non-smooth changes and imbalanced …
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Bayesian optimization of separation gradients to maximize the performance of untargeted LC-MS
Liquid chromatography (LC) with gradient elution is a routine practice for separating complex chemical mixtures in mass spectrometry …
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