Local estimation of posterior class probabilities to minimize classification errors.
Alicia Guerrero-CuriesesJesús Cid-SueiroRocío Alaíz-RodríguezAníbal R. Figueiras-VidalPublished in: IEEE Trans. Neural Networks (2004)
Keyphrases
- class probabilities
- classification error
- class labels
- misclassification costs
- multi class
- cost sensitive
- estimation error
- class distribution
- naive bayes
- probability estimates
- base classifiers
- density function
- decision boundary
- training set
- bayesian methods
- decision rules
- random forests
- training samples
- binary classifiers
- training data
- training examples
- generalization error
- hyperparameters
- labeled data
- binary classification
- supervised learning
- decision trees
- incomplete data
- covariance matrix
- rough sets