Learning of networked spreading models from noisy and incomplete data.
Mateusz WilinskiAndrey Y. LokhovPublished in: CoRR (2024)
Keyphrases
- incomplete data
- learning bayesian networks
- missing data
- hidden variables
- learning algorithm
- bayesian networks
- missing values
- learned models
- learning process
- em algorithm
- neural network
- active learning
- supervised learning
- database
- incomplete data sets
- learning tasks
- decision trees
- variational bayesian
- irrelevant attributes