利用大规模量子回归进行迁移学习

IF 2.3 3区工程技术 Q1 STATISTICS & PROBABILITY

Technometrics Pub Date : 2024-02-09 DOI:10.1080/00401706.2024.2315952

Jun Jin, Jun Yan, Robert H. Aseltine, Kun Chen

引用次数: 0

摘要

量子回归因其稳健性和灵活性，越来越多地出现在现代大数据应用中。我们考虑了学习特定 t 的条件量值的情景。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Transfer Learning with Large-Scale Quantile Regression

Quantile regression is increasingly encountered in modern big data applications due to its robustness and flexibility. We consider the scenario of learning the conditional quantiles of a specific t...

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来源期刊

Technometrics 管理科学-统计学与概率论

CiteScore

4.50

自引率

16.00%

发文量

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.