Bayesian Feature and Model Selection for Gaussian Mixture Models.
Constantinos ConstantinopoulosMichalis K. TitsiasAristidis LikasPublished in: IEEE Trans. Pattern Anal. Mach. Intell. (2006)
Keyphrases
- model selection
- gaussian mixture model
- mixture model
- bayesian learning
- selection criterion
- feature vectors
- hyperparameters
- variational bayes
- marginal likelihood
- bayesian model selection
- statistical inference
- cross validation
- bayesian methods
- bayesian information criterion
- maximum likelihood
- parameter estimation
- density estimation
- sample size
- posterior distribution
- probability density function
- regression model
- machine learning
- generalization error
- model selection criteria
- feature selection
- em algorithm
- unsupervised learning
- feature space
- gaussian distribution
- gaussian processes
- gaussian process
- bayesian networks
- prior information
- exponential family
- expectation maximization
- feature extraction
- image processing
- information retrieval