Proposes the EL-MIATTs framework for ML predictive modeling by assuming the true target does not exist and defining democratic supervision via multiple inaccurate true targets.
From the negative ontology perspective, we e xplicitly posited that the TT does not objectively exist in the real world for ML
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Negative Ontology of True Target for Machine Learning: Towards Evaluation and Learning under Democratic Supervision
Proposes the EL-MIATTs framework for ML predictive modeling by assuming the true target does not exist and defining democratic supervision via multiple inaccurate true targets.