Learning from Multiple Cities: A Meta-Learning Approach for Spatial-Temporal Prediction.
Huaxiu Yao|Yiding Liu|Ying Wei|Xianfeng Tang|Zhenhui Li
| Anthology ID: | DBLP:conf/www/YaoLWTL19 |
|---|---|
| Volume: | The World Wide Web Conference, WWW 2019, San Francisco, CA, USA, May 13-17, 2019 |
| Year: | 2019 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 2181-2191 |
| URL: | https://doi.org/10.1145/3308558.3313577 |
| DOI: | https://doi.org/10.1145/3308558.3313577 |
| DBLP: | conf/www/YaoLWTL19 |
| BibTeX: |
@inproceedings{yao-2019-learning,
author = {Huaxiu Yao and
Yiding Liu and
Ying Wei and
Xianfeng Tang and
Zhenhui Li},
editor = {Ling Liu and
Ryen W. White and
Amin Mantrach and
Fabrizio Silvestri and
Julian J. McAuley and
Ricardo Baeza-Yates and
Leila Zia},
title = {{Learning from Multiple Cities: A Meta-Learning Approach for Spatial-Temporal Prediction}},
booktitle = {{The World Wide Web Conference, WWW 2019, San Francisco, CA, USA, May 13-17, 2019}},
pages = {2181--2191},
publisher = {ACM},
year = {2019},
url = {https://doi.org/10.1145/3308558.3313577},
doi = {https://doi.org/10.1145/3308558.3313577}
}