Enabling High-Quality Uncertainty Quantification in a PIM Designed for Bayesian Neural Network.
Xingchen LiBingzhe WuGuangyu SunZhe ZhangZhihang YuanRunsheng WangRu HuangDimin NiuHongzhong ZhengZhichao LuLiang ZhaoMeng-Fan Marvin ChangTianchan GuanXin SiPublished in: HPCA (2022)
Keyphrases
- high quality
- neural network
- decision theory
- artificial neural networks
- dempster shafer
- low quality
- machine learning
- neural network is trained
- recurrent neural networks
- back propagation
- fuzzy logic
- ground truth
- maximum likelihood
- neural nets
- decision making
- bayesian networks
- bayesian estimation
- bayesian learning
- pattern recognition
- expert systems
- posterior distribution
- network model
- high resolution
- posterior probability
- radial basis function
- probability distribution
- data driven
- rough sets