Scalable Probabilistic Databases with Factor Graphs and MCMC.
Michael L. WickAndrew McCallumGerome MiklauPublished in: Proc. VLDB Endow. (2010)
Keyphrases
- probabilistic databases
- factor graphs
- approximate inference
- probabilistic inference
- probabilistic graphical models
- graphical models
- message passing
- belief propagation
- query evaluation
- exact inference
- uncertain data
- bayesian networks
- variational methods
- conjunctive queries
- dynamic bayesian networks
- database queries
- posterior distribution
- latent variables
- relational algebra
- belief networks
- probabilistic model
- gaussian process
- parameter learning
- aggregate queries
- first order logic
- markov networks
- text classification
- conditional random fields
- random variables
- generative model
- conditional probabilities
- parameter estimation
- hidden markov models
- data model