Prior Information Based Bayesian Infinite Mixture Model.
Zhen HuSiva SivaganesanMario MedvedovicPublished in: ISAIM (2010)
Keyphrases
- prior information
- mixture model
- bayesian inference
- maximum likelihood
- prior distribution
- em algorithm
- dirichlet prior
- prior knowledge
- gaussian mixture model
- variational inference
- probabilistic model
- generative model
- prior probabilities
- hyperparameters
- density estimation
- bayesian nonparametric
- expectation maximization
- unsupervised learning
- model selection
- bayesian model
- generalized em algorithm
- posterior probability
- mixture modeling
- posterior distribution
- language model
- probabilistic mixture model
- probability density function
- parameter estimation
- gaussian mixture
- markov chain monte carlo
- gaussian distribution
- bayesian framework
- bayesian models
- finite mixture model
- bayesian networks
- clustering algorithm
- image processing
- information retrieval