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洞見 - Feature Selection in Multi-label Classification
Orthogonal Regression for Multi-label Feature Selection
A novel method, GRROOR, optimizes feature selection in multi-label classification using orthogonal regression.
Embedded Multi-label Feature Selection via Orthogonal Regression: A Novel Approach for Multi-label Classification Tasks
The author proposes a novel method, GRROOR, to address the challenge of preserving discriminative information in multi-label data through orthogonal regression with feature weighting.