Learning from Multiple Cities: A Meta-Learning Approach for Spatial-Temporal Prediction

Huaxiu Yao, Yiding Liu, Ying Wei, Xianfeng Tang, Zhenhui Li. Learning from Multiple Cities: A Meta-Learning Approach for Spatial-Temporal Prediction. In Ling Liu 0001, Ryen W. White, Amin Mantrach, Fabrizio Silvestri, Julian J. McAuley, Ricardo S. Baeza-Yates, Leila Zia, editors, The World Wide Web Conference, WWW 2019, San Francisco, CA, USA, May 13-17, 2019. pages 2181-2191, ACM, 2019. [doi]

@inproceedings{YaoLWTL19,
  title = {Learning from Multiple Cities: A Meta-Learning Approach for Spatial-Temporal Prediction},
  author = {Huaxiu Yao and Yiding Liu and Ying Wei and Xianfeng Tang and Zhenhui Li},
  year = {2019},
  doi = {10.1145/3308558.3313577},
  url = {https://doi.org/10.1145/3308558.3313577},
  researchr = {https://researchr.org/publication/YaoLWTL19},
  cites = {0},
  citedby = {0},
  pages = {2181-2191},
  booktitle = {The World Wide Web Conference, WWW 2019, San Francisco, CA, USA, May 13-17, 2019},
  editor = {Ling Liu 0001 and Ryen W. White and Amin Mantrach and Fabrizio Silvestri and Julian J. McAuley and Ricardo S. Baeza-Yates and Leila Zia},
  publisher = {ACM},
  isbn = {978-1-4503-6674-8},
}