Learning Tractable Graphical Models Using Mixture of Arithmetic Circuits.
Amirmohammad RooshenasDaniel LowdPublished in: AAAI (Late-Breaking Developments) (2013)
Keyphrases
- graphical models
- prior knowledge
- markov logic networks
- learning algorithm
- belief propagation
- conditional random fields
- structural learning
- probabilistic inference
- markov networks
- statistical relational learning
- undirected graphical models
- higher order
- exact inference
- relational dependency networks
- approximate inference
- relational models
- deep architectures
- exponential family
- probabilistic graphical models
- statistical learning
- background knowledge
- random variables
- pairwise
- reinforcement learning