| Titel | Description | Author(s) | Related projects | ID |
|---|---|---|---|---|
| A Drift-based Dynamic Ensemble Members Selection using Clustering For Time Series Forecasting | This package enables a dynamic selection of heteregeneous ensemble base models through a performance drift detection mechanism and ensures ensemble diversity through a second stage selection using clustering that is computed after each drift detection. Predictions of final selected models are combined single prediction using sliding-window averages or stacking. |
Saadallah, Amal
|
SFB 876
|
g8c6g7ec5c |
| RapidMiner Microarray Feature Selection Plugin | Operators for feature selection and classificationof high-dimensional (microarray-) data |
Schowe, Benjamin
Sivakumar, Viswanath |
SFB 876
|
gepnx488 |