Exploiting Parameter Related Domain Knowledge for Learning in Graphical Models.
Radu Stefan NiculescuTom M. MitchellR. Bharat RaoPublished in: SDM (2005)
Keyphrases
- graphical models
- domain knowledge
- learning algorithm
- approximate inference
- belief propagation
- reinforcement learning
- probabilistic model
- prior knowledge
- probabilistic inference
- background knowledge
- structure learning
- markov logic networks
- deep architectures
- random variables
- conditional random fields
- conditional independence
- loopy belief propagation
- structural learning
- statistical learning
- lower bound
- undirected graphical models