Tree-Guided MCMC Inference for Normalized Random Measure Mixture Models.
Juho LeeSeungjin ChoiPublished in: NIPS (2015)
Keyphrases
- mixture model
- dirichlet process
- generative model
- markov chain monte carlo
- gaussian mixture model
- em algorithm
- similarity measure
- variational inference
- probabilistic model
- gibbs sampling
- expectation maximization
- bayesian inference
- density estimation
- maximum likelihood
- unsupervised learning
- language model
- model selection
- probability density function
- mixture modeling
- markov chain
- discriminative learning
- exponential family
- finite mixtures
- approximate inference
- gaussian mixture
- bayesian networks
- bayesian model
- probabilistic inference
- posterior probability
- prior knowledge
- decision trees
- image processing