Variational Bayesian feature selection for Gaussian mixture models.
Fabio ValenteChristian WellekensPublished in: ICASSP (1) (2004)
Keyphrases
- gaussian mixture model
- variational bayesian
- expectation maximization
- feature selection
- mixture model
- exponential family
- em algorithm
- dirichlet process
- feature space
- maximum likelihood
- density estimation
- unsupervised learning
- variational inference
- factor analysis
- model selection
- matrix factorization
- probabilistic model
- incomplete data
- probability density function
- feature set
- generative model
- gaussian distribution
- feature vectors
- machine learning
- image segmentation
- parameter estimation
- text classification
- multi task
- bayesian methods
- k means
- posterior distribution
- multi task learning
- language model
- bayesian framework
- learning tasks
- density function
- support vector
- dimensionality reduction