Web: http://arxiv.org/abs/2209.07027

Sept. 16, 2022, 1:11 a.m. | Wang Lu, Jindong Wang, Xinwei Sun, Yiqiang Chen, Xing Xie

cs.LG updates on arXiv.org arxiv.org

Time series classification is an important problem in real world. Due to its
non-stationary property that the distribution changes over time, it remains
challenging to build models for generalization to unseen distributions. In this
paper, we propose to view the time series classification problem from the
distribution perspective. We argue that the temporal complexity attributes to
the unknown latent distributions within. To this end, we propose DIVERSIFY to
learn generalized representations for time series classification. DIVERSIFY
takes an iterative process: …

arxiv classification series time series

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