Yumin Liu, Junxiang Chen, Auroop R. Ganguly, Jennifer G. Dy. Nonparametric Mixture of Sparse Regressions on Spatio-Temporal Data - An Application to Climate Prediction. In Ankur Teredesai, Vipin Kumar, Ying Li, Rómer Rosales, Evimaria Terzi, George Karypis, editors, Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, KDD 2019, Anchorage, AK, USA, August 4-8, 2019. pages 2556-2564, ACM, 2019. [doi]
@inproceedings{LiuCGD19,
title = {Nonparametric Mixture of Sparse Regressions on Spatio-Temporal Data - An Application to Climate Prediction},
author = {Yumin Liu and Junxiang Chen and Auroop R. Ganguly and Jennifer G. Dy},
year = {2019},
doi = {10.1145/3292500.3330692},
url = {https://doi.org/10.1145/3292500.3330692},
researchr = {https://researchr.org/publication/LiuCGD19},
cites = {0},
citedby = {0},
pages = {2556-2564},
booktitle = {Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, KDD 2019, Anchorage, AK, USA, August 4-8, 2019},
editor = {Ankur Teredesai and Vipin Kumar and Ying Li and Rómer Rosales and Evimaria Terzi and George Karypis},
publisher = {ACM},
isbn = {978-1-4503-6201-6},
}