Parallel Markov Chain Monte Carlo for Nonparametric Mixture Models.
Sinead WilliamsonAvinava DubeyEric P. XingPublished in: ICML (1) (2013)
Keyphrases
- mixture model
- dirichlet process
- markov chain monte carlo
- generative model
- density estimation
- probabilistic model
- gaussian mixture model
- em algorithm
- bayesian inference
- expectation maximization
- dirichlet process mixture models
- parameter estimation
- maximum likelihood
- model selection
- markov chain
- sampling algorithm
- posterior distribution
- unsupervised learning
- variational inference
- language model
- posterior probability
- monte carlo
- bayesian framework
- probability density function
- bayesian model
- computer vision
- semi supervised
- probability distribution
- topic models
- machine learning
- feature vectors