Detecting Concept Drift With Neural Network Model Uncertainty.
Lucas BaierTim SchlörJakob SchöfferNiklas KühlPublished in: CoRR (2021)
Keyphrases
- neural network model
- concept drift
- data streams
- neural network
- drifting concepts
- artificial neural networks
- drift detection
- streaming data
- non stationary
- data stream classification
- classification algorithm
- incremental clustering
- batch learning
- data distribution
- change detection
- evolving data streams
- data stream mining
- bp neural network
- machine learning
- dynamic characteristics
- decision trees
- prior knowledge
- data sets
- training data
- k nearest neighbor
- multi dimensional
- active learning