The Mapping Theorem: Why Structural Accuracy, Not Speed or Data, Determines Predictive Power
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| Format: | Recurso digital |
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Zenodo
2026
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| _version_ | 1866902095813148672 |
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| author | Tanaka, Yuichiro |
| author_facet | Tanaka, Yuichiro |
| contents | 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. |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_20352378 |
| institution | Zenodo |
| language | |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | The Mapping Theorem: Why Structural Accuracy, Not Speed or Data, Determines Predictive Power Tanaka, Yuichiro 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. |
| title | The Mapping Theorem: Why Structural Accuracy, Not Speed or Data, Determines Predictive Power |
| url | https://doi.org/10.5281/zenodo.20352378 |