Comparing Prequential Model Selection Criteria in Supervised Learning of Mixture Models.
Petri KontkanenPetri MyllymäkiHenry TirriPublished in: AISTATS (2001)
Keyphrases
- mixture model
- model selection criteria
- model selection
- supervised learning
- unsupervised learning
- generalization error
- cross validation
- selection criterion
- gaussian mixture model
- density estimation
- machine learning
- em algorithm
- learning machines
- generative model
- selection criteria
- parameter estimation
- sample size
- expectation maximization
- marginal likelihood
- probabilistic model
- information criterion
- semi supervised
- semi supervised learning
- regression model
- exponential family
- hyperparameters
- variable selection
- training set
- maximum likelihood
- bayesian information criterion
- active learning
- learning algorithm
- probability density function
- gaussian process
- feature selection
- reinforcement learning
- language model
- data sets