Density-based weighting for imbalanced regression.
Michael SteiningerKonstantin KobsPadraig DavidsonAnna KrauseAndreas HothoPublished in: Mach. Learn. (2021)
Keyphrases
- regression model
- weighting scheme
- clustering method
- simple linear
- clustering algorithm
- linear regression
- outlier detection
- regression analysis
- subspace clustering
- regression problems
- anomaly detection
- model selection
- density based clustering
- regression algorithm
- regression methods
- locally weighted
- polynomial regression
- support vector
- arbitrary shape
- support vector regression
- ridge regression
- gaussian processes
- tf idf
- class distribution
- detection algorithm
- binary classification problems
- k means
- spatial clustering
- rare events
- similarity measure
- regression function
- information retrieval
- data sets