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Updated: May 28, 2025

Cross-Modal Multivariate Pattern Analysis
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对于使用实例级和集群级监督对比学习的多变量时间序列的通用表示学习

Nazanin Moradinasab1, Suchetha Sharma2, Ronen Bar-Yoseph3,4

  • 1Department of Engineering Systems and Environment, University of Virginia, Charlottesville, VA 22904, USA.

Data mining and knowledge discovery
|February 14, 2025
PubMed
概括

用于时间序列分类的监督对比学习 (SupCon-TSC) 通过学习歧视性表示来提高有限数据的性能. 这种方法提高了小数据集的准确性,并且在更大的档案中胜过了最先进的方法.

关键词:
分类 分类 分类 分类.相反的学习学习.可以解释性 解释性多变量时间序列数据.

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