Neyman-Pearson multiclass classification under label noise via empirical likelihood

Neyman-Pearson multiclass classification under label noise via empirical likelihood explores A statistical method for multiclass classification that accounts for noisy labels using empirical likelihood, offering theoretical guarantees.. Commercial viability score: 3/10 in Statistical Learning.