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

CILIA

書(shū)目名稱(chēng)Bayesian Optimization and Data Science影響因子(影響力)




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




書(shū)目名稱(chēng)Bayesian Optimization and Data Science網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱(chēng)Bayesian Optimization and Data Science網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱(chēng)Bayesian Optimization and Data Science被引頻次




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




書(shū)目名稱(chēng)Bayesian Optimization and Data Science年度引用




書(shū)目名稱(chēng)Bayesian Optimization and Data Science年度引用學(xué)科排名




書(shū)目名稱(chēng)Bayesian Optimization and Data Science讀者反饋




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

杠桿支點(diǎn)

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).

者變

省略

賞心悅目

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.