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....

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Bibliographic Details
Main Authors: Hiroto Kuramata, Hideki Yagi
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Entropy
Subjects:
Online Access:https://www.mdpi.com/1099-4300/24/5/635