Jeffreys prior regularization for logistic regression.
Tam NguyenRaviv RaichPhung LaiPublished in: SSP (2016)
Keyphrases
- logistic regression
- prior information
- support vector
- predictive power
- logistic regression models
- credit scoring
- decision trees
- naive bayes
- loss function
- random forests
- prior knowledge
- breast cancer
- linear svm
- chi square
- involving high dimensional data
- chi square test
- fold cross validation
- linear support vector machines
- logistic model
- generalized linear models
- classification trees
- hyperplane
- least squares
- classification and regression trees
- training data
- machine learning
- data sets