An Efficient Model Selection for Gaussian Mixture Model in a Bayesian Framework.
Ji Won YoonPublished in: CoRR (2013)
Keyphrases
- gaussian mixture model
- model selection
- bayesian framework
- mixture model
- hyperparameters
- expectation maximization
- generative model
- gaussian process
- bayesian information criterion
- cross validation
- em algorithm
- prior knowledge
- probability density function
- maximum likelihood
- parameter estimation
- selection criterion
- regression model
- posterior probability
- bayesian methods
- machine learning
- sample size
- maximum a posteriori
- density estimation
- unsupervised learning
- bayesian model
- prior distribution
- posterior distribution
- feature vectors
- gaussian distribution
- model selection criteria
- gaussian processes
- generalization error
- variable selection
- decision trees
- supervised learning
- probabilistic model
- high dimensional
- feature selection