Learning mixture models using a genetic version of the EM algorithm.
Aleix M. MartínezJordi VitriàPublished in: Pattern Recognit. Lett. (2000)
Keyphrases
- mixture model
- em algorithm
- expectation maximization
- gaussian mixture model
- generative model
- hidden variables
- density estimation
- unsupervised learning
- maximum likelihood
- parameter estimation
- mixture modeling
- maximum likelihood estimation
- probability density function
- probabilistic model
- model based clustering
- discriminative learning
- model selection
- gaussian mixture
- finite mixture models
- finite mixtures
- hyperparameters
- language model
- finite mixture model
- mixture components
- bayesian framework
- likelihood function
- learning algorithm
- supervised learning
- active learning
- reinforcement learning