Graphical Models for Recovering Probabilistic and Causal Queries from Missing Data.
Karthika MohanJudea PearlPublished in: NIPS (2014)
Keyphrases
- missing data
- graphical models
- bayesian networks
- probabilistic model
- belief networks
- belief propagation
- factor graphs
- incomplete data
- causal networks
- missing values
- approximate inference
- probabilistic inference
- structure learning
- probabilistic graphical models
- random variables
- possibilistic networks
- probabilistic reasoning
- query processing
- causal relationships
- markov networks
- conditional independence
- matrix factorization
- conditional random fields
- statistical relational learning
- generative model
- posterior probability
- conditional probabilities
- database
- models with hidden variables
- probability distribution
- image segmentation
- causal models
- uncertain data
- message passing
- probability theory
- linear programming
- search algorithm
- directed graphical models
- feature selection