EASE combines attention-based subspace scoring with EWC-style incremental updates to evaluate and refine feature spaces more efficiently during iterative feature selection.
A comprehensive review of dimensionality reduction techniques for feature selection and feature extraction
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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.