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领域转移对预测可穿戴设备感知睡眠质量的影响

Nouran Abdalazim1, Leonardo Alchieri1, Lidia Alecci1

  • 1Faculty of Informatics, Università della Svizzera Italiana, 6900 Lugano, Switzerland.

Sensors (Basel, Switzerland)
|July 12, 2025
PubMed
概括

域名转移显著降低了个人信息学机器学习模型的性能. 一个新的基于集群的人口模型 (CBPM) 在没有用户特定数据的情况下提高了准确性,提高了现实世界的适用性.

关键词:
一个共变的轮班.数据集偏差数据集偏差域名转移 域名转移 域名转移机器学习模型机器学习模型在线学习在线学习.个人信息系统个人信息系统监测睡眠行为 监测睡眠行为睡眠质量识别 睡眠质量识别可穿戴设备可穿戴设备.

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