A note on convergence requirements for nonlinear maximum-likelihood estimation of parameters from mixture models.
Carl M. HarrisJay MandelbaumPublished in: Comput. Oper. Res. (1985)
Keyphrases
- maximum likelihood estimation
- mixture model
- em algorithm
- expectation maximization
- maximum likelihood
- gaussian mixture model
- parameter estimation
- mixture of gaussians
- generative model
- proximal point
- likelihood function
- density estimation
- multivariate gaussian
- gaussian mixture
- probability density function
- hyperparameters
- probabilistic model
- mixture modeling
- bayesian framework
- unsupervised learning
- probability density
- image segmentation
- computer vision
- automatic model selection
- mixture components
- dirichlet prior
- gaussian distribution
- language model
- probability distribution
- k means
- bayesian networks