Identifying graphs from noisy and incomplete data.
Galileo Mark S. Namata Jr.Lise GetoorPublished in: KDD Workshop on Knowledge Discovery from Uncertain Data (2009)
Keyphrases
- incomplete data
- learning bayesian networks
- missing data
- missing values
- bayesian networks
- em algorithm
- incomplete data sets
- bayes classifier
- multiple imputation
- typical testors
- irrelevant attributes
- graph matching
- directed graph
- active learning
- variational bayesian
- input data
- machine learning
- models built
- proximal point