A multi-label feature selection method, mFSIR, uses Hadamard-product parameterization and latent label embedding to reduce bias and promote benign overfitting.
Svm based multi-label learning with missing labels for image annotation,
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Implicit Regularization for Multi-label Feature Selection
A multi-label feature selection method, mFSIR, uses Hadamard-product parameterization and latent label embedding to reduce bias and promote benign overfitting.