Structured Priors for Structure Learning.
Vikash K. MansinghkaCharles KempThomas L. GriffithsJoshua B. TenenbaumPublished in: CoRR (2012)
Keyphrases
- structure learning
- graphical models
- bayesian networks
- conditional independence
- parameter estimation
- transfer learning
- parameter learning
- bayesian network structure learning
- markov logic networks
- bayesian network classifiers
- sample size
- network structure
- belief propagation
- prior information
- markov networks
- maximum likelihood estimation
- machine learning algorithms
- probabilistic model