Model Selection Criteria on Beta Regression for Machine Learning.
Patrícia EspinheiraLuana da SilvaAlisson SilvaRaydonal OspinaPublished in: Mach. Learn. Knowl. Extr. (2019)
Keyphrases
- model selection criteria
- model selection
- machine learning
- cross validation
- regression model
- selection criterion
- parameter estimation
- sample size
- variable selection
- selection criteria
- hyperparameters
- feature selection
- information criterion
- mixture model
- marginal likelihood
- learning machines
- machine learning algorithms
- data mining
- generalization error
- gaussian process
- leave one out cross validation
- bayesian inference
- learning problems
- learning tasks
- bayesian methods
- similarity measure
- unsupervised learning
- support vector machine
- prior knowledge