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| Format: | Recurso digital |
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| Veröffentlicht: |
Zenodo
2026
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| Online-Zugang: | https://doi.org/10.5281/zenodo.19101478 |
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Inhaltsangabe:
- <p>We define a third-order tensor Tcc′j that captures local class transition probabilities in metric spaces. Through contraction with the class prior, we obtain a scalar tolerance measure τ ∗ that provides a lower bound on mutual information via Fano’s inequality. We introduce the proxy Ψ := ˆτ · log2(K) as a computationally efficient measure of local supervised consistency.</p>