Ensembles of cost-diverse Bayesian neural learners for imbalanced binary classification.
Marcelino LázaroFrancisco HerreraAníbal R. Figueiras-VidalPublished in: Inf. Sci. (2020)
Keyphrases
- binary classification
- cost sensitive
- base learners
- class imbalance
- binary classification problems
- ensemble methods
- multi class
- class distribution
- cost sensitive learning
- single class
- active learning strategies
- support vector
- learning problems
- minority class
- prediction accuracy
- decision trees
- multi class classification
- multi label
- naive bayes
- neural network
- support vector machine
- active learning
- learning styles
- bayesian networks
- learning environment
- base classifiers
- learning process
- learning experience
- ensemble learning
- binary classifiers
- e learning
- machine learning methods
- generalization error
- reinforcement learning
- machine learning