Variational Bayesian Stochastic Complexity of Mixture Models.
Kazuho WatanabeSumio WatanabePublished in: NIPS (2005)
Keyphrases
- mixture model
- variational bayesian
- exponential family
- dirichlet process
- variational inference
- expectation maximization
- em algorithm
- gaussian mixture model
- probabilistic model
- density estimation
- maximum likelihood
- generative model
- unsupervised learning
- language model
- model selection
- parameter estimation
- matrix factorization
- log likelihood
- closed form
- bayesian inference
- graphical models
- information retrieval
- data mining
- multi task learning
- posterior distribution
- machine learning
- feature selection