Titlebook: Bayesian Optimization and Data Science; Francesco Archetti,Antonio Candelieri Book 2019 The Author(s), under exclusive license to Springer

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书目名称Bayesian Optimization and Data Science影响因子(影响力)




书目名称Bayesian Optimization and Data Science影响因子(影响力)学科排名




书目名称Bayesian Optimization and Data Science网络公开度




书目名称Bayesian Optimization and Data Science网络公开度学科排名




书目名称Bayesian Optimization and Data Science被引频次




书目名称Bayesian Optimization and Data Science被引频次学科排名




书目名称Bayesian Optimization and Data Science年度引用




书目名称Bayesian Optimization and Data Science年度引用学科排名




书目名称Bayesian Optimization and Data Science读者反馈




书目名称Bayesian Optimization and Data Science读者反馈学科排名

杠杆支点

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

省略

赏心悦目

急性

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

condemn

SpringerBriefs in Optimizationhttp://image.papertrans.cn/b/image/181873.jpg

Sinus-Node

FOR

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.