Variational Bayesian Mixture Model on a Subspace of Exponential Family Distributions.
Kazuho WatanabeShotaro AkahoShinichiro OmachiMasato OkadaPublished in: IEEE Trans. Neural Networks (2009)
Keyphrases
- exponential family
- mixture model
- variational bayesian
- density estimation
- gaussian mixture model
- em algorithm
- generative model
- probabilistic model
- maximum likelihood
- variational inference
- expectation maximization
- language model
- model selection
- low dimensional
- feature space
- dirichlet process
- unsupervised learning
- high dimensional
- probability density function
- feature extraction
- high dimensional data
- dimensionality reduction
- principal component analysis
- machine learning
- graphical models
- bayesian inference
- log likelihood