自动化机器学习中的超参调优方法

null 张爱军; null 杨泽斌

doi:10.1360/N012019-00092

自动化机器学习中的超参调优方法

Translated title of the contribution: Hyperparameter tuning methods in automated machine learning

张爱军^*, 杨泽斌

^*Corresponding author for this work

Department of Mathematics

Research output: Contribution to journal › Article › peer-review

Abstract

Translated title of the contribution	Hyperparameter tuning methods in automated machine learning
Original language	Chinese (Simplified)
Pages (from-to)	695-710
Number of pages	16
Journal	中国科学: 数学
Volume	50
Issue number	5
DOIs	https://doi.org/10.1360/N012019-00092
Publication status	Published - 1 May 2020

Scopus Subject Areas

Mathematics(all)

User-Defined Keywords

AutoML
Bayesian optimization
Hyperparameter optimization
Sequential uniform designs

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10.1360/N012019-00092

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title = "自动化机器学习中的超参调优方法",

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year = "2020",

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doi = "10.1360/N012019-00092",

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AU - 杨泽斌, null

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KW - Sequential uniform designs

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JF - 中国科学: 数学

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自动化机器学习中的超参调优方法

Abstract

Scopus Subject Areas

User-Defined Keywords

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