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Learning Temporal Rules from Noisy Timeseries Data. (arXiv:2202.05403v1 [cs.LG])
Feb. 14, 2022, 2:11 a.m. | Karan Samel, Zelin Zhao, Binghong Chen, Shuang Li, Dharmashankar Subramanian, Irfan Essa, Le Song
cs.LG updates on arXiv.org arxiv.org
Events across a timeline are a common data representation, seen in different
temporal modalities. Individual atomic events can occur in a certain temporal
ordering to compose higher level composite events. Examples of a composite
event are a patient's medical symptom or a baseball player hitting a home run,
caused distinct temporal orderings of patient vitals and player movements
respectively. Such salient composite events are provided as labels in temporal
datasets and most works optimize models to predict these composite event …
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