Variational Training for Large-Scale Noisy-OR Bayesian Networks.
Geng JiDehua ChengHuazhong NingChanghe YuanHanning ZhouLiang XiongErik B. SudderthPublished in: UAI (2019)
Keyphrases
- bayesian networks
- training set
- small scale
- multiply sectioned bayesian networks
- real world
- learning bayesian networks
- training algorithm
- test set
- probability distribution
- training process
- training phase
- probabilistic modeling
- supervised learning
- probabilistic model
- approximate inference
- conditional independence
- structure learning
- probabilistic reasoning
- real life
- inference in bayesian networks
- expert systems