Constrained Optimization for Training Deep Neural Networks Under Class Imbalance.
Sara SangalliErtunc ErdilAndreas M. HötkerOlivio DonatiEnder KonukogluPublished in: CoRR (2021)
Keyphrases
- constrained optimization
- class imbalance
- neural network
- training process
- class distribution
- training algorithm
- active learning
- cost sensitive
- cost sensitive learning
- objective function
- high dimensionality
- imbalanced datasets
- penalty function
- class imbalanced
- pattern recognition
- test set
- training set
- multi layer perceptron
- training examples
- feature selection
- minority class
- training samples
- artificial neural networks
- sampling methods
- data distribution
- concept drift
- genetic algorithm
- multilayer perceptron
- supervised learning
- data sets