Model selection for linear classifiers using Bayesian error estimation.
Heikki HuttunenJussi TohkaPublished in: Pattern Recognit. (2015)
Keyphrases
- error estimation
- model selection
- linear classifiers
- generalization error
- hyperparameters
- bayesian learning
- cross validation
- bayesian model selection
- marginal likelihood
- statistical inference
- parameter estimation
- sample size
- feature selection
- machine learning
- generalization bounds
- bayesian inference
- model selection criteria
- hyperplane
- posterior probability
- principal components
- multi class
- information criterion
- maximum likelihood
- training set
- bayesian networks
- image processing