Scalable Probabilistic Databases with Factor Graphs and MCMC
Michael L. WickAndrew McCallumGerome MiklauPublished in: CoRR (2010)
Keyphrases
- probabilistic databases
- factor graphs
- approximate inference
- probabilistic inference
- probabilistic graphical models
- graphical models
- message passing
- belief propagation
- latent variables
- exact inference
- query evaluation
- posterior distribution
- uncertain data
- variational methods
- dynamic bayesian networks
- markov networks
- conjunctive queries
- bayesian networks
- databases
- parameter estimation
- markov random field
- belief networks
- database queries
- probabilistic model
- random variables
- structure learning
- machine learning
- aggregate queries
- structured prediction
- gaussian process
- relational algebra
- conditional probabilities
- parameter learning
- knowledge discovery
- pairwise
- data management