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

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書目名稱Bayesian Optimization and Data Science影響因子(影響力)




書目名稱Bayesian Optimization and Data Science影響因子(影響力)學(xué)科排名




書目名稱Bayesian Optimization and Data Science網(wǎng)絡(luò)公開度




書目名稱Bayesian Optimization and Data Science網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Bayesian Optimization and Data Science被引頻次




書目名稱Bayesian Optimization and Data Science被引頻次學(xué)科排名




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書目名稱Bayesian Optimization and Data Science讀者反饋學(xué)科排名

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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).

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賞心悅目

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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

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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.