GRAF builds oblique random forest ensembles whose hyperplanes are shared across all impure partitions, and reports competitive accuracy on 115 UCI datasets plus a sensitivity score for data approximation.
Random rotation ensembles,
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Guided Random Forest and its application to data approximation
GRAF builds oblique random forest ensembles whose hyperplanes are shared across all impure partitions, and reports competitive accuracy on 115 UCI datasets plus a sensitivity score for data approximation.