Classification of Binary Imbalanced Data Using A Bayesian Ensemble of Bayesian Neural Networks.
Marcelino LázaroFrancisco HerreraAníbal R. Figueiras-VidalPublished in: EANN (2015)
Keyphrases
- imbalanced data
- neural network
- pattern recognition
- class imbalance
- ensemble classifier
- classification models
- support vector machine
- feature selection
- decision boundary
- class distribution
- ensemble methods
- machine learning
- imbalanced data sets
- imbalanced datasets
- bayesian networks
- support vector
- decision trees
- feature extraction
- image classification
- training process
- feature vectors
- posterior probability
- random forest
- ensemble learning
- posterior distribution
- classification accuracy
- sampling methods
- feature space
- generalization ability
- base classifiers
- nearest neighbor
- supervised learning
- high dimensionality