Feature and model selection with discriminatory visualization for diagnostic classification of brain tumors.
Félix Fernando González-NavarroLluís A. Belanche MuñozEnrique RomeroAlfredo VellidoMargarida Julià-SapéCarles ArúsPublished in: Neurocomputing (2010)
Keyphrases
- model selection
- cross validation
- selection criterion
- hyperparameters
- brain tumors
- statistical learning
- bayesian learning
- feature set
- regression model
- machine learning
- feature selection
- sample size
- parameter estimation
- model selection criteria
- unsupervised learning
- generalization error
- mixture model
- statistical inference
- variable selection
- feature vectors
- bayesian methods
- leave one out cross validation
- feature subset
- gaussian process
- pattern recognition
- bayesian information criterion
- support vector
- magnetic resonance images
- mr images
- support vector machine
- automatic model selection
- parameter determination
- marginal likelihood
- information criterion
- text classification
- medical images
- learning algorithm