Tree-Guided MCMC Inference for Normalized Random Measure Mixture Models.
Juho LeeSeungjin ChoiPublished in: CoRR (2015)
Keyphrases
- mixture model
- dirichlet process
- generative model
- markov chain monte carlo
- gaussian mixture model
- em algorithm
- variational inference
- similarity measure
- probabilistic model
- bayesian inference
- density estimation
- expectation maximization
- gibbs sampling
- language model
- mixture modeling
- gaussian mixture
- automatic model selection
- bayesian networks
- unsupervised learning
- model selection
- markov chain
- model based clustering
- probability density function
- probabilistic inference
- posterior probability
- maximum likelihood
- exponential family
- exact inference
- text classification
- semi supervised
- active learning
- mixture components
- high dimensional