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Reconciling modern machine-learning practice and the classical bias–variance trade-off
Breakthroughs in machine learning are rapidly changing science and society, yet our fundamental understanding of this technology has lagged far behind. Indeed, one of the central tenets of the field, the bias–variance trade-off, appears to be at odds with the observed behavior of methods used in mod...
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| Veröffentlicht in: | Proc Natl Acad Sci U S A |
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| Hauptverfasser: | , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
National Academy of Sciences
2019
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6689936/ https://ncbi.nlm.nih.gov/pubmed/31341078 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.1903070116 |
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