Instance exploitation for learning temporary concepts from sparsely labeled drifting data streams.
Lukasz KoryckiBartosz KrawczykPublished in: Pattern Recognit. (2022)
Keyphrases
- data streams
- supervised learning
- concept learning
- learning algorithm
- learning process
- prior knowledge
- active learning
- associative learning
- background knowledge
- reinforcement learning
- online learning
- image classification
- unsupervised learning
- learning systems
- sparse representation
- knowledge base
- concept drift
- machine learning
- neural network