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.
A Review on Evaluation Metrics for Data Classification Evaluations
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LAF-Based Evaluation and UTTL-Based Learning Strategies with MIATTs
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.
- Negative Ontology of True Target for Machine Learning: Towards Evaluation and Learning under Democratic Supervision