使

Makoto Otsuka1,2, Kento Kodama3, Keisuke Morita3,4

  • 1LiLz Inc., Okinawa, Japan. m.otsuka@lilz.jp.

Scientific reports
|October 30, 2025
PubMed
概括

这项研究引入了一种新的方法,通过使用黑子优化和量子回火来清除错误标记的实例来清除杂的训练数据. 这种方法通过提高数据集质量来增强机器学习模型的概括性.

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