Age-Layered Expectation Maximization for Parameter Learning in Bayesian Networks.
Avneesh Singh SalujaPriya Krishnan SundararajanOle J. MengshoelPublished in: AISTATS (2012)
Keyphrases
- parameter learning
- expectation maximization
- bayesian networks
- em algorithm
- structure learning
- maximum likelihood
- probabilistic model
- generative model
- bayesian network learning
- parameter estimation
- probabilistic modeling
- probabilistic inference
- bayesian framework
- unsupervised learning
- conditional independence
- image segmentation
- conditional random fields
- probability density function
- bayesian network classifiers
- hidden variables
- maximum likelihood estimation
- maximum a posteriori
- graphical models
- posterior probability
- statistical learning
- approximate inference
- markov networks
- structure and parameter learning
- posterior distribution
- higher order
- least squares
- probability distribution
- k means
- training data