Learning the Structure of Deep Sparse Graphical Models.
Ryan Prescott AdamsHanna M. WallachZoubin GhahramaniPublished in: AISTATS (2010)
Keyphrases
- graphical models
- gaussian graphical models
- deep architectures
- markov logic networks
- graph structure
- bayesian networks
- undirected graphical models
- belief propagation
- learning algorithm
- random variables
- probabilistic model
- conditional random fields
- probabilistic inference
- structural learning
- markov networks
- deep learning
- statistical learning
- probabilistic graphical models
- structure learning
- conditional independence
- hidden variables
- learning problems
- map inference
- prior knowledge
- objective function
- reinforcement learning
- relational dependency networks