Iterative Constrained Maximum Likelihood Estimation Via Expectation Propagation.
John MacLaren WalshPhillip A. RegaliaPublished in: ICASSP (5) (2006)
Keyphrases
- maximum likelihood estimation
- expectation propagation
- approximate inference
- parameter estimation
- gaussian process
- em algorithm
- bayesian inference
- density estimation
- maximum likelihood
- expectation maximization
- variational bayes
- density function
- hyperparameters
- graphical models
- probability distribution
- probabilistic model
- bayesian methods
- gaussian mixture model
- posterior distribution
- message passing
- belief propagation
- statistical models
- markov chain monte carlo
- state space
- image segmentation