A Survey on Uncertainty Reasoning and Quantification for Decision Making: Belief Theory Meets Deep Learning.
Zhen GuoZelin WanQisheng ZhangXujiang ZhaoFeng ChenJin-Hee ChoQi ZhangLance M. KaplanDong H. JeongAudun JøsangPublished in: CoRR (2022)
Keyphrases
- deep learning
- imprecise probabilities
- belief functions
- decision making
- probability theory
- decision theory
- evidential reasoning
- expected utility
- unsupervised learning
- mental models
- machine learning
- deep architectures
- decision process
- unsupervised feature learning
- decision makers
- bayesian networks
- knowledge base
- weakly supervised
- knowledge representation
- truth maintenance systems