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} }