טוען...
The Selective Labels Problem: Evaluating Algorithmic Predictions in the Presence of Unobservables
Evaluating whether machines improve on human performance is one of the central questions of machine learning. However, there are many domains where the data is selectively labeled in the sense that the observed outcomes are themselves a consequence of the existing choices of the human decision-maker...
שמור ב:
| הוצא לאור ב: | KDD |
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| Main Authors: | , , , , |
| פורמט: | Artigo |
| שפה: | Inglês |
| יצא לאור: |
2017
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| נושאים: | |
| גישה מקוונת: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5958915/ https://ncbi.nlm.nih.gov/pubmed/29780658 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1145/3097983.3098066 |
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