EASE combines attention-based subspace scoring with EWC-style incremental updates to evaluate and refine feature spaces more efficiently during iterative feature selection.
Using recursive feature elimination in random forest to account for correlated variables in high dimensional data
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Iterative Feature Space Optimization through Incremental Adaptive Evaluation
EASE combines attention-based subspace scoring with EWC-style incremental updates to evaluate and refine feature spaces more efficiently during iterative feature selection.