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An efficient hyper-parameter optimization method for supervised learning

  • 【作者】Ying Shi,Hui Qi,Xiaobo Qi,Xiaofang Mu
  • 【刊名】Applied Soft Computing
  • 【作者单位】1School of Computer Science and Technology , Taiyuan Normal University, Jinzhong 030619, Shanxi Province, China;2School of Computer and Information Technology, Shanxi University, Taiyuan 030006, Shanxi Province, China
  • 【年份】2022
  • 【页码】109266
  • 【ISSN】1568-4946
  • 【关键词】Supervised learning Hyper-parameter optimization Cross-validation Sign similarity Minimal symmetric similarity criterion 
  • 【摘要】 Supervised learning is an important tool for data mining and knowledge discovery. The hyper-parameter in learning models usually has a significant impact on the generalization performance of supervised learning model. Although some state-of-the-art h...
  • 【文献类型】 期刊
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