Fast progressive training of mixture models for model selection.
Prem Raj AdhikariJaakko HollménPublished in: J. Intell. Inf. Syst. (2015)
Keyphrases
- model selection
- mixture model
- automatic model selection
- cross validation
- gaussian mixture model
- sample size
- learning machines
- hyperparameters
- parameter estimation
- density estimation
- regression model
- generalization error
- unsupervised learning
- machine learning
- variable selection
- feature selection
- bayesian information criterion
- probability density function
- training set
- em algorithm
- likelihood function
- expectation maximization
- information criterion
- gaussian process
- factor analysis
- object recognition
- leave one out cross validation
- k means
- model selection criteria
- information retrieval