Expectation Maximization and Posterior Constraints.
João GraçaKuzman GanchevBen TaskarPublished in: NIPS (2007)
Keyphrases
- expectation maximization
- em algorithm
- bayesian framework
- probabilistic model
- resource constraints
- probability distribution
- real time
- constraint satisfaction
- generative model
- unsupervised learning
- parameter estimation
- gaussian mixture model
- posterior distribution
- posterior probability
- multiple constraints
- probability density function
- mixture model
- maximum a posteriori
- closed form
- maximum likelihood
- search algorithm
- feature selection
- databases