Salvato in:
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| Natura: | Recurso digital |
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Zenodo
2026
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| Accesso online: | https://doi.org/10.5281/zenodo.20352378 |
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Sommario:
- Proves that the accuracy of a predictive model depends on the structural distance between the model and reality, not on data volume or computational speed. A structurally wrong model with infinite data underperforms a structurally right model with minimal data. Provides the mathematical foundation for GCT's signal construction.