Neural message-passing for objective-based uncertainty quantification and optimal experimental design.
Qihua ChenXuejin ChenHyun-Myung WooByung-Jun YoonPublished in: Eng. Appl. Artif. Intell. (2023)
Keyphrases
- message passing
- experimental design
- belief propagation
- probabilistic inference
- distributed systems
- shared memory
- active learning
- inference in graphical models
- empirical studies
- optimal solution
- worst case
- sample size
- graphical models
- dynamic programming
- graph cuts
- feature selection
- upper bound
- conditional probabilities
- training data
- image segmentation
- image processing
- sum product
- machine learning