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Convergence Rates for Empirical Estimation of Binary Classification Bounds
Bounding the best achievable error probability for binary classification problems is relevant to many applications including machine learning, signal processing, and information theory. Many bounds on the Bayes binary classification error rate depend on information divergences between the pair of cl...
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| Izdano u: | Entropy (Basel) |
|---|---|
| Glavni autori: | , , , |
| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
MDPI
2019
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| Teme: | |
| Online pristup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7514489/ https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/e21121144 |
| Oznake: |
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