Learning Bayesian Networks with Hidden Variables Using the Combination of EM and Evolutionary Algorithms.
Fengzhan TianYuchang LuChunyi ShiPublished in: PAKDD (2001)
Keyphrases
- learning bayesian networks
- hidden variables
- evolutionary algorithm
- bayesian networks
- incomplete data
- em algorithm
- probabilistic model
- generative model
- expectation maximization
- structure learning
- statistical data
- markov networks
- conditional independence
- mixture model
- maximum likelihood
- graphical models
- latent variables
- missing values
- missing data
- gaussian mixture model
- parameter estimation
- bayesian inference
- random variables
- computer vision
- training data
- maximum a posteriori
- conditional random fields
- higher order
- hidden markov models