Fitting large mixture models using stochastic component selection.
Milan PapezTomás PevnýVáclav SmídlPublished in: CoRR (2021)
Keyphrases
- mixture model
- gaussian mixture model
- em algorithm
- probabilistic model
- generative model
- density estimation
- model selection
- unsupervised learning
- expectation maximization
- automatic model selection
- maximum likelihood
- language model
- finite mixtures
- mixture modeling
- gaussian mixture
- probability density function
- model based clustering
- prior knowledge
- high dimensional
- parameter estimation
- image processing
- learning algorithm
- log linear models
- dirichlet prior
- data sets