Multivariate bounded support asymmetric generalized Gaussian mixture model with model selection using minimum message length.
Muhammad AzamNizar BouguilaPublished in: Expert Syst. Appl. (2022)
Keyphrases
- model selection
- mixture model
- gaussian mixture model
- finite mixtures
- minimum message length
- cross validation
- bayesian information criterion
- expectation maximization
- hyperparameters
- parameter estimation
- regression model
- unsupervised learning
- density estimation
- em algorithm
- bayesian learning
- sample size
- automatic model selection
- feature selection
- gaussian mixture
- generative model
- mixture components
- model selection criteria
- generalization error
- marginal likelihood
- machine learning
- gaussian distribution
- background subtraction
- maximum likelihood
- information criterion
- variable selection
- gaussian process
- probability density function
- language model
- image processing
- multivariate regression
- bayesian methods
- mixture of gaussians
- semi supervised
- feature space
- information retrieval
- data sets