A drop-out mechanism for active learning based on one-attribute heuristics
Active Learning (AL) leverages the principle that machine learning models can achieve high accuracy with fewer labeled samples by strategically selecting the most informative data points for training. However, when human annotators provide these labels, their decisions might exhibit a systematic bia...
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| Principais autores: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Frontiers Media S.A.
2025-09-01
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| coleção: | Frontiers in Artificial Intelligence |
| Assuntos: | |
| Acesso em linha: | https://www.frontiersin.org/articles/10.3389/frai.2025.1562916/full |
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