A `No panacea theorem' for classifier combination

DOI10.1016/J.PATCOG.2008.01.022zbMath1151.68606OpenAlexW2050240670MaRDI QIDQ931702

Roland Hu, Robert I. Damper

Publication date: 26 June 2008

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.patcog.2008.01.022

zbMATH Keywords

Gaussian mixturesprobability density functions`No free lunch' theorems

Mathematics Subject Classification ID

Pattern recognition, speech recognition (68T10)

Related Items (2)

A `No panacea theorem' for classifier combination ⋮ Majority Voting by Independent Classifiers Can Increase Error Rates

Cites Work

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• A `No panacea theorem' for classifier combination
• Combining Pattern Classifiers

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