EM Algorithm for Symmetric Causal Independence Models.
Rasa JurgelenaiteTom HeskesPublished in: ECML (2006)
Keyphrases
- em algorithm
- causal independence
- expectation maximization
- parameter estimation
- mixture model
- maximum likelihood
- incomplete data
- probabilistic model
- generative model
- hidden variables
- gaussian mixture model
- maximum likelihood estimation
- finite mixture model
- gaussian mixture
- probability density function
- model selection
- parameter learning
- hyperparameters
- expectation maximisation
- bayesian networks
- probabilistic inference
- maximum a posteriori
- prior knowledge
- bayesian framework
- causal models
- belief propagation
- conditional independence
- particle filter
- high dimensional
- machine learning
- probabilistic principal component analysis