State of component models usage: justifying the need for a component model selection framework.
Hazleen ArisSiti Salwah SalimPublished in: Int. Arab J. Inf. Technol. (2011)
Keyphrases
- model selection
- parameter estimation
- statistical inference
- cross validation
- bayesian learning
- statistical learning
- sample size
- mixture model
- regression model
- meta learning
- bayesian model selection
- bayesian methods
- hyperparameters
- probabilistic model
- motion segmentation
- machine learning
- statistical models
- information criterion
- bayesian approaches
- model selection criteria
- marginal likelihood
- variable selection
- gaussian process
- state space
- feature selection
- error estimation
- bayesian framework
- em algorithm