Modeling Trajectories with Recurrent Neural Networks

@inproceedings{Wu2017ModelingTW,
  title={Modeling Trajectories with Recurrent Neural Networks},
  author={Hao Wu and Ziyang Chen and Weiwei Sun and Baihua Zheng and Wei Wang},
  booktitle={IJCAI},
  year={2017}
}
Modeling trajectory data is a building block for many smart-mobility initiatives. Existing approaches apply shallow models such as Markov chain and inverse reinforcement learning to model trajectories, which cannot capture the long-term dependencies. On the other hand, deep models such as Recurrent Neural Network (RNN) have demonstrated their strength of modeling variable length sequences. However, directly adopting RNN to model trajectories is not appropriate because of the unique topological… CONTINUE READING

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