Modeling the Intensity Function of Point Process Via Recurrent Neural Networks

@article{Xiao2017ModelingTI,
  title={Modeling the Intensity Function of Point Process Via Recurrent Neural Networks},
  author={Shuai Xiao and Junchi Yan and Xiaokang Yang and Hongyuan Zha and Stephen M. Chu},
  journal={ArXiv},
  year={2017},
  volume={abs/1705.08982}
}
Event sequence, asynchronously generated with random timestamp, is ubiquitous among applications. [] Key Method For utility, our method allows a black-box treatment for modeling the intensity which is often a pre-defined parametric form in point processes. Meanwhile end-to-end training opens the venue for reusing existing rich techniques in deep network for point process modeling. We apply our model to the predictive maintenance problem using a log dataset by more than 1000 ATMs from a global bank…

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