Learning Parameters by Prediction Markets and Kelly Rule for Graphical Models.
Wei SunRobin HansonKathryn B. LaskeyCharles TwardyPublished in: UAI Application Workshops (2013)
Keyphrases
- graphical models
- belief propagation
- probabilistic graphical models
- structure learning
- reinforcement learning
- approximate inference
- prediction markets
- possibilistic networks
- structural learning
- parameter learning
- learning algorithm
- probabilistic inference
- markov logic networks
- undirected graphical models
- probabilistic model
- support vector machine
- bayesian networks