Discriminative vs. Generative Classifiers for Cost Sensitive Learning.
Chris DrummondPublished in: Canadian Conference on AI (2006)
Keyphrases
- cost sensitive learning
- bayesian network classifiers
- discriminative classifiers
- cost sensitive
- class imbalance
- probability estimation
- discriminative learning
- decision trees
- naive bayes
- minority class
- misclassification costs
- feature selection
- class distribution
- missing values
- training data
- unsupervised learning
- multi class
- support vector
- active learning
- training examples
- machine learning algorithms
- test set
- generative model
- training set
- training samples
- classification algorithm
- svm classifier
- support vector machine
- feature extraction
- decision rules
- learning models
- class labels
- binary classifiers
- rule extraction
- feature set
- supervised learning