Page 186 - 《软件学报》2025年第12期

李梓健 等: 基于隐变量解耦学习的时间序列领域自适应方法 5567

表示. 基于可识别性理论, 本文设计了可识别基特征对齐领域自适应模型 (DIVV), 利用变分推断解耦领域变化的
隐变量, 并采用基于正交特征对齐模块以解耦领域不变的隐变量. 最终, 本文采用领域不变特征进行时间序列分
类, 并在多个真实数据集上进行验证. 实验结果表明, 本文提出的理论和模型在真实场景中具有显著的有效性, 为
解决时间序列数据领域自适应问题提供了新的思路和方法.

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