Structural-EM for learning PDG models from incomplete data.
Jens Dalgaard NielsenRafael RumíAntonio SalmerónPublished in: Int. J. Approx. Reason. (2010)
Keyphrases
- incomplete data
- learning bayesian networks
- em algorithm
- learning algorithm
- hidden variables
- prior knowledge
- probabilistic model
- missing data
- bayesian networks
- supervised learning
- learning models
- database
- maximum likelihood
- variational bayesian
- statistical models
- transfer learning
- unsupervised learning
- generative model
- expectation maximization
- machine learning
- data sets