Graphical Models for Inference with Missing Data.
Karthika MohanJudea PearlJin TianPublished in: NIPS (2013)
Keyphrases
- missing data
- graphical models
- probabilistic inference
- exact inference
- map inference
- bayesian networks
- belief networks
- factor graphs
- belief propagation
- loopy belief propagation
- undirected graphical models
- efficient inference algorithms
- nonparametric belief propagation
- approximate inference
- statistical inference
- probabilistic model
- missing values
- incomplete data
- probabilistic graphical models
- random variables
- directed graphical models
- conditional random fields
- relational dependency networks
- matrix factorization
- graphical structure
- structure learning
- markov networks
- markov logic networks
- statistical relational learning
- possibilistic networks
- inference process
- message passing
- perfect phylogeny
- free energy
- structured prediction
- databases
- dynamic bayesian networks
- relational databases