Deep Mixture Point Processes
Author:
Affiliation:
1. NTT Service Evolution Labs
2. NTT Communication Science Labs
3. Department of Intelligence Science and Technology, Kyoto University
Publisher
Japanese Society for Artificial Intelligence
Subject
Artificial Intelligence,Software
Link
https://www.jstage.jst.go.jp/article/tjsai/36/5/36_36-5_C-L37/_pdf
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4. [Chen 16] Chen, L., Zhang, D., Wang, L., Yang, D., Ma, X., Li, S., Wu, Z., Pan, G., Nguyen, T.-M.-T., and Jakubowicz, J.: Dynamic cluster-based over-demand prediction in bike sharing systems, in Proceedings of the 18th Ubicomp, pp. 841–852 (2016)
5. [Choi 15] Choi, E., Du, N., Chen, R., Song, L., and Sun, J.: Constructing disease network and temporal progression model via contextsensitive hawkes process, in Proceedings of the 15th ICDM, pp. 721– 726 (2015)
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