Static Seeding and Clustering of LSTM Embeddings to Learn from Loosely Time-Decoupled Events. (arXiv:2208.12389v1 [cs.LG])

Humans learn from the occurrence of events in a different place and time to
predict similar trajectories of events. We define Loosely Decoupled Timeseries
(LDT) phenomena as two or more events that could happen in different places and
across different timelines but share similarities in the nature of the event
and the properties of the location. In this work we improve on the use of
Recurring Neural Networks (RNN), in particular Long Short-Term Memory (LSTM)
networks, to enable AI solutions …

arxiv clustering events lg lstm time