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Updated: Jan 9, 2026

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
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A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data

Published on: December 9, 2015

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时间序列域调整通过潜伏不变因果机制

Ruichu Cai, Junxian Huang, Zhenhui Yang

    IEEE transactions on pattern analysis and machine intelligence
    |December 10, 2025
    PubMed
    概括

    本研究引入了一种新的潜在因果关系对齐 (LCA) 框架,用于时间序列域调整. 在高维数据中,LCA有效地模拟了潜在的因果结构,提高了分类和预测性能.

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