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Iterative Weak Learnability and Multiclass Adaboost
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining · 2024, pp. 466–477
We propose a procedure for multi-label classification problems based on iteratively eliminating worst-performing labels.