Keyphrases
- model selection
- gaussian mixture
- mixture model
- learning algorithm
- cross validation
- generalization error
- machine learning
- sample size
- hyperparameters
- parameter estimation
- gaussian mixture model
- regression model
- model selection criteria
- selection criterion
- probability density function
- density estimation
- unsupervised learning
- closed form
- gaussian process
- feature selection
- em algorithm
- covariance matrix
- bayesian information criterion
- bayesian methods
- maximum likelihood
- generalization bounds
- expectation maximization
- information criterion
- active learning
- machine learning algorithms
- training data
- reinforcement learning
- automatic model selection