Data dependency in multiple classifier systems

DOI10.1016/J.PATCOG.2008.11.035zbMath1183.68526OpenAlexW2000329903MaRDI QIDQ1015182

Mohamed S. Kamel, Rozita A. Dara, Nayer M. Wanas

Publication date: 7 May 2009

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

Full work available at URL: https://doi.org/10.1016/j.patcog.2008.11.035

zbMATH Keywords

stabilityaggregation methodsmultiple classifier systemsclass imbalancedata dependency

Mathematics Subject Classification ID

Pattern recognition, speech recognition (68T10)

Related Items (2)

CORES: fusion of supervised and unsupervised training methods for a multi-class classification problem ⋮ MSEBAG: a dynamic classifier ensemble generation based on ‘minimum-sufficient ensemble' and bagging

Uses Software

• UCI-ml

Cites Work

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• Multiple classifier systems. 6th international workshop, MCS 2005, Seaside, CA, USA, June 13--15, 2005. Proceedings
• Leave one out error, stability, and generalization of voting combinations of classifiers
• Hierarchical fusion of multiple classifiers for hyperspectral data analysis
• Adaptive fusion and co-operative training for classifier ensembles
• Combining Pattern Classifiers
• Dynamic classifier selection based on multiple classifier behaviour
• Decision templates for multiple classifier fusion: An experimental comparison

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