Discretisation for inference on normal mixture models.
Mark J. BrewerPublished in: Stat. Comput. (2003)
Keyphrases
- mixture model
- variational inference
- dirichlet process
- gaussian mixture model
- em algorithm
- probabilistic model
- density estimation
- generative model
- expectation maximization
- model selection
- unsupervised learning
- maximum likelihood
- language model
- mixture modeling
- finite mixture models
- bayesian inference
- probability density function
- model based clustering
- gaussian mixture
- exponential family
- finite mixtures
- prior knowledge
- markov chain monte carlo
- text classification
- active learning
- bayesian networks