Thermodynamic overfitting and generalization: energetics of predictive intelligence
Overfitting is a crucial concern in machine learning, where an unnecessarily complex model closely captures the details of its training data but fails to generalize to new inputs. Regularization acts as a speed-bump to increasing complexity that ensures models only grow as necessary to fit the funda...
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| Autors principals: | , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
IOP Publishing
2025-01-01
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| Col·lecció: | New Journal of Physics |
| Matèries: | |
| Accés en línia: | https://doi.org/10.1088/1367-2630/addf71 |
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