A Conceptual Study of Model Selection in Classification - Multiple Local Models vs One Global Model.
Ricardo VilaltaFrancisco Ocegueda-HernandezC. BagariaPublished in: ICAART (1) (2010)
Keyphrases
- model selection
- parameter estimation
- cross validation
- classification models
- information criterion
- probabilistic model
- selection criterion
- bayesian methods
- bayesian learning
- bayesian information criterion
- regression model
- statistical models
- feature selection
- statistical inference
- hyperparameters
- prior knowledge
- automatic model selection
- learning models
- statistical model
- statistical methods
- model selection criteria
- error estimation
- markov random field
- sample size
- statistical learning
- training set
- gaussian process
- objective function
- leave one out cross validation
- machine learning
- marginal likelihood
- model averaging
- linear regression