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 <inline-formula><math xmlns="http://www.w3....
Main Authors: | Hiroto Kuramata, Hideki Yagi |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-04-01
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Series: | Entropy |
Subjects: | |
Online Access: | https://www.mdpi.com/1099-4300/24/5/635 |
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