Handling Concept Drifts in Regression Problems - the Error Intersection Approach.
Lucas BaierMarcel HofmannNiklas KühlMarisa MohrGerhard SatzgerPublished in: CoRR (2020)
Keyphrases
- regression problems
- concept drift
- genetic programming
- linear regression
- data streams
- cross validation
- input space
- hyperparameters
- classification algorithm
- non stationary
- high dimensional data
- support vector machine
- random forests
- model selection
- least squares
- data distribution
- learning machines
- feature selection
- ensemble learning
- generalization error
- supervised learning
- data mining
- sliding window
- optical flow
- pairwise
- support vector
- genetic algorithm