Incremental Deep Neural Network Learning Using Classification Confidence Thresholding.
Justin LeoJugal KalitaPublished in: IEEE Trans. Neural Networks Learn. Syst. (2022)
Keyphrases
- incremental learning
- neural network
- supervised learning
- unsupervised learning
- learning algorithm
- learning phase
- discriminative learning
- learning vector quantization
- pattern recognition
- prior knowledge
- learning process
- artificial neural networks
- learning rules
- active learning
- learning tasks
- reinforcement learning
- neural nets
- training process
- feature extraction
- training samples
- model selection
- knowledge acquisition
- classification accuracy
- confidence scores
- inductive inference
- batch learning
- classification models
- bp neural network
- feed forward
- learning problems
- classification rules
- classification method
- self organizing maps
- support vector machine
- training data
- e learning