Direction-aware multi-label feature selection via paired signed-deviation lifting
Distance-based multi-label classifiers that rely on a fixed, non-adaptive metric—ML-kNN, RBF-kernel machines with fixed bandwidth, and analogous templates—compare instances through symmetric feature differences and therefore do not encode whether label evidence lies above or below a typical feature value; adaptive metr...