A boosting approach to structure learning of graphs with and without prior knowledge.
Shahzia AnjumArnaud DoucetChristopher C. HolmesPublished in: Bioinform. (2009)
Keyphrases
- structure learning
- prior knowledge
- bayesian networks
- graphical models
- conditional independence
- markov logic networks
- parameter estimation
- bayesian network structure learning
- parameter learning
- transfer learning
- bayesian network classifiers
- prior information
- sample size
- network structure
- learning algorithm
- training data
- markov networks
- probabilistic model
- collaborative filtering
- machine learning
- random variables
- directed graph
- upper bound
- bayesian framework
- latent variables
- graph cuts
- high dimensional
- graph theoretic
- decision trees
- social networks
- structural learning