主动采样:一种机器学习辅助框架,用于利用最优子样本进行有限总体推断

IF 2.3 3区 工程技术 Q1 STATISTICS & PROBABILITY
Henrik Imberg, Xiaomi Yang, Carol Flannagan, Jonas Bärgman
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引用次数: 0

摘要

在分析海量数据集时,数据子采样被广泛认为是克服计算和经济瓶颈的一种工具。我们致力于开发自适应设计的数据子采样技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Active sampling: A machine-learning-assisted framework for finite population inference with optimal subsamples
Data subsampling has become widely recognized as a tool to overcome computational and economic bottlenecks in analyzing massive datasets. We contribute to the development of adaptive design for est...
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来源期刊
Technometrics
Technometrics 管理科学-统计学与概率论
CiteScore
4.50
自引率
16.00%
发文量
59
审稿时长
>12 weeks
期刊介绍: Technometrics is a Journal of Statistics for the Physical, Chemical, and Engineering Sciences, and is published Quarterly by the  American Society for Quality and the American Statistical Association.Since its inception in 1959, the mission of Technometrics has been to contribute to the development and use of statistical methods in the physical, chemical, and engineering sciences.
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