CILIA 发表于 2025-3-21 18:32:24

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杠杆支点 发表于 2025-3-21 20:24:51

The Acquisition Function, search of the optimum towards points with potential low values of objective function either because the prediction of ., based on the probabilistic surrogate model, is low or the uncertainty, also based on the same model, is high (or both).

者变 发表于 2025-3-22 04:25:31

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省略 发表于 2025-3-22 08:28:40

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赏心悦目 发表于 2025-3-22 09:26:59

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急性 发表于 2025-3-22 14:47:38

The Acquisition Function, search of the optimum towards points with potential low values of objective function either because the prediction of ., based on the probabilistic surrogate model, is low or the uncertainty, also based on the same model, is high (or both).

Geyser 发表于 2025-3-22 19:32:32

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condemn 发表于 2025-3-22 23:52:48

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Sinus-Node 发表于 2025-3-23 03:18:27

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FOR 发表于 2025-3-23 06:33:20

https://doi.org/10.1007/978-3-662-05352-2What is the relation between finding the global minimum of the function below and the learning paradigm (Fig. .)? What learning models have in common with global optimization methods? Outlining possible answers and linking them to other parts of the book are the objective of this chapter.
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查看完整版本: Titlebook: Bayesian Optimization and Data Science; Francesco Archetti,Antonio Candelieri Book 2019 The Author(s), under exclusive license to Springer