Scalable Probabilistic Databases with Factor Graphs and MCMC

Michael L. Wick Andrew McCallum Gerome Miklau

Published 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