Efficient Model Selection for Kernel Logistic Regression.
Gavin C. CawleyNicola L. C. TalbotPublished in: ICPR (2) (2004)
Keyphrases
- model selection
- cross validation
- hyperparameters
- gaussian process
- kernel logistic regression
- sample size
- machine learning
- feature selection
- model selection criteria
- regression model
- variable selection
- mixture model
- generalization error
- bayesian methods
- multi class
- closed form
- probability density function
- semi supervised