Lifted Aggregation in Directed First-Order Probabilistic Models.
Jacek KisynskiDavid PoolePublished in: IJCAI (2009)
Keyphrases
- probabilistic model
- graphical models
- probabilistic inference
- bayesian networks
- conditional random fields
- belief propagation
- bayesian inference
- generative model
- language model
- latent variables
- first order logic
- random variables
- higher order
- conditional probabilities
- data aggregation
- expectation maximization
- probabilistic modeling
- approximate inference
- message passing
- aggregation functions
- quantifier elimination
- data sets
- stochastic dominance
- hidden variables
- prior knowledge
- machine learning
- exact inference
- belief networks
- undirected graphical models
- social networks
- neural network