Study on Predicting Job Runtime of Computational Learning Platform via Machine Learning

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更新时间：2023-11-27

- Study on Predicting Job Runtime of Computational Learning Platform via Machine Learning
- Software Guide Vol. 22, Issue 11, Pages: 104-109(2023)
- 作者机构：
  
  1.上海交通大学网络信息中心，上海 200240
  2.上海擎云物联网股份有限公司，上海 200070
- 作者简介：
- 基金信息：
- DOI：10.11907/rjdk.231905
  CLC：
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于潇雪,韦建文,张战炳等.机器学习预测校级计算教学平台作业运行时间研究[J].软件导刊,2023,22(11):104-109.

YU Xiaoxue,WEI Jianwen,ZHANG Zhanbing,et al.Study on Predicting Job Runtime of Computational Learning Platform via Machine Learning[J].Software Guide,2023,22(11):104-109.
于潇雪,韦建文,张战炳等.机器学习预测校级计算教学平台作业运行时间研究[J].软件导刊,2023,22(11):104-109. DOI： 10.11907/rjdk.231905.

YU Xiaoxue,WEI Jianwen,ZHANG Zhanbing,et al.Study on Predicting Job Runtime of Computational Learning Platform via Machine Learning[J].Software Guide,2023,22(11):104-109. DOI： 10.11907/rjdk.231905.

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