The EL-MIATTs framework offers LAF-grounded evaluation and UTTL-grounded learning strategies to handle multiple inaccurate true targets in machine learning under uncertain supervision.
Logical assessment formula and its principles for evaluations with inaccurate ground-truth labels
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