Ensembles of Long Short-Term Memory Experts for Streaming Data with Sudden Concept Drift.
Sabine ApfeldAlexander CharlishGerd AscheidPublished in: ICMLA (2021)
Keyphrases
- concept drift
- streaming data
- ensemble learning
- ensemble classifier
- data streams
- non stationary
- data stream mining
- drift detection
- mining data streams
- evolving data streams
- data distribution
- classification algorithm
- incremental clustering
- stream mining
- change detection
- stream data
- high speed data streams
- base classifiers
- concept drifting data streams
- incoming data
- noisy data streams
- recurrent neural networks
- unsupervised learning
- knn
- high dimensional
- pattern recognition
- image processing