Structured Priors for Structure Learning.
Vikash K. MansinghkaCharles KempThomas L. GriffithsJoshua B. TenenbaumPublished in: UAI (2006)
Keyphrases
- structure learning
- bayesian networks
- graphical models
- conditional independence
- markov logic networks
- parameter learning
- bayesian network structure learning
- parameter estimation
- markov networks
- bayesian network classifiers
- transfer learning
- network structure
- belief propagation
- bayesian framework
- sample size
- structure learning algorithm
- data mining
- conditional random fields
- prior information
- probabilistic reasoning
- natural language processing
- probabilistic model