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Analysis on Optimal Error Exponents of Binary Classification for Source with Multiple Subclasses
We consider a binary classification problem for a test sequence to determine from which source the sequence is generated. The system classifies the test sequence based on empirically observed (training) sequences obtained from unknown sources [Formula: see text] and [Formula: see text]. We analyze t...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9141706/ https://www.ncbi.nlm.nih.gov/pubmed/35626520 http://dx.doi.org/10.3390/e24050635 |