A Tutorial on the Expectation-Maximization Algorithm Including Maximum-Likelihood Estimation and EM Training of Probabilistic Context-Free Grammars
Detlef PrescherPublished in: CoRR (2004)
Keyphrases
- maximum likelihood estimation
- em algorithm
- expectation maximization
- maximum likelihood
- mixture of gaussians
- log likelihood function
- minimum classification error
- parameter estimation
- probabilistic context free grammars
- probability distribution
- unsupervised learning
- mixture model
- generative model
- gaussian mixture model
- natural language parsing
- machine learning
- probabilistic model
- least squares
- bayesian framework
- density function
- k means
- finite state
- pairwise
- discriminative training
- image segmentation
- computer vision
- information retrieval