EMSGD: An Improved Learning Algorithm of Neural Networks With Imbalanced Data.
Yaguan QianJun MaZhang Xi-MinJun PanWujie ZhouWu Shu-HuiBensheng YunJing-Sheng LeiPublished in: IEEE Access (2020)
Keyphrases
- imbalanced data
- neural network
- learning algorithm
- back propagation
- class distribution
- linear regression
- ensemble methods
- support vector machine
- pattern recognition
- training data
- artificial neural networks
- random forest
- classification models
- machine learning
- learning problems
- machine learning algorithms
- feature selection
- svm classifier
- class imbalance
- training process
- base learners
- supervised learning
- least squares
- learning process
- decision trees
- generalization ability
- active learning
- high dimensional
- bp neural network
- multilayer perceptron
- learning tasks
- ensemble classifier
- sampling methods
- unlabeled data
- training examples
- ensemble learning
- original data
- labeled data