2nd Workshop on Uncertainty Reasoning and Quantification in Decision Making
Author:
Affiliation:
1. NEC Laboratories America, Princeton, NJ, USA
2. Baylor University, Waco, TX, USA
3. University of Texas at Dallas, Richardson, TX, USA
4. Virginia Tech, Blacksburg, VA, USA
5. NEC Laboratories America, Princetioin, NJ, USA
Funder
National Science Foundation
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3580305.3599230
Reference6 articles.
1. Xujiang Zhao , Feng Chen , and Jin-Hee Cho . 2018 a. Deep Learning Based Scalable Inference of Uncertain Opinions. In 2018 IEEE International Conference on Data Mining (ICDM). IEEE, 807--816 . Xujiang Zhao, Feng Chen, and Jin-Hee Cho. 2018a. Deep Learning Based Scalable Inference of Uncertain Opinions. In 2018 IEEE International Conference on Data Mining (ICDM). IEEE, 807--816.
2. Deep Learning for Predicting Dynamic Uncertain Opinions in Network Data
3. Uncertainty aware semi-supervised learning on graph data;Zhao Xujiang;Advances in Neural Information Processing Systems,2020
4. Uncertainty-based Decision Making Using Deep Reinforcement Learning
5. Seed: Sound Event Early Detection Via Evidential Uncertainty
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