A naïve Bayes regularized logistic regression estimator for low-dimensional classification.
Yi TanBen SherwoodPrakash P. ShenoyPublished in: Int. J. Approx. Reason. (2024)
Keyphrases
- logistic regression
- bayesian classifiers
- bayes classifiers
- tree augmented
- decision trees
- support vector
- bayes classifier
- naive bayes
- low dimensional
- naive bayes classifier
- logistic regression models
- fold cross validation
- linear support vector machines
- bayesian classifier
- credit scoring
- least squares
- linear svm
- class membership probabilities
- high dimensional
- bayesian network classifiers
- text classification
- classification and regression trees
- classification trees
- pattern recognition
- breast cancer
- loss function
- support vector machine
- machine learning
- classification accuracy
- supervised classification
- high dimensional data
- maximum likelihood
- odds ratio
- belief nets
- feature selection
- classification models
- support vector machine svm
- labeled data
- feature vectors
- logistic model
- learning algorithm