Neural network for ordinal classification of imbalanced data by minimizing a Bayesian cost.
Marcelino LázaroAníbal R. Figueiras-VidalPublished in: Pattern Recognit. (2023)
Keyphrases
- imbalanced data
- ordinal classification
- neural network
- binary classification
- monotonicity constraints
- cost sensitive
- class distribution
- class imbalance
- multi class classification
- linear regression
- support vector machine
- ensemble methods
- back propagation
- artificial neural networks
- minority class
- feature selection
- genetic algorithm
- image classification
- cost sensitive learning
- decision trees
- multilayer perceptron
- nearest neighbor
- multi class
- classification models
- feature vectors
- training data