A Nonparametric Bayesian Framework for Multivariate Beta Mixture Models.
Mahsa AmirkhaniNarges ManouchehriNizar BouguilaPublished in: IRI (2021)
Keyphrases
- bayesian framework
- mixture model
- generative model
- finite mixtures
- expectation maximization
- density estimation
- dirichlet process
- em algorithm
- finite mixture models
- probabilistic model
- gaussian mixture model
- dirichlet process mixture models
- posterior probability
- hyperparameters
- prior knowledge
- bayesian model
- mixture modeling
- gaussian process
- posterior distribution
- maximum a posteriori
- probability density function
- unsupervised learning
- bayesian methods
- model selection
- prior distribution
- maximum likelihood
- model based clustering
- gaussian mixture
- language model
- topic models
- parameter estimation
- reinforcement learning
- regression model
- supervised learning
- semi supervised
- k means