Second-Order Learning and Inference using Incomplete Data for Uncertain Bayesian Networks: A Two Node Example.
Lance M. KaplanFederico CeruttiMurat SensoyKumar Vijay MishraPublished in: FUSION (2020)
Keyphrases
- bayesian networks
- incomplete data
- learning bayesian networks
- hidden variables
- parameter learning
- missing values
- pattern recognition
- data sets
- inference process
- bayesian network classifiers
- structured prediction
- structure learning
- conditional independence
- em algorithm
- neural network
- probabilistic inference
- missing data
- generative model
- graphical models
- supervised learning
- probabilistic model
- active learning
- database
- inference in bayesian networks
- conditional probability tables