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Experimental study for the comparison of classifier combination methods

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Publication:853091
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DOI10.1016/J.PATCOG.2006.06.027zbMath1103.68785OpenAlexW2146254396MaRDI QIDQ853091

H. W. Shin, So Young Sohn

Publication date: 15 November 2006

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

Full work available at URL: https://doi.org/10.1016/j.patcog.2006.06.027


zbMATH Keywords

classifier selectionbaggingrandom subspace methodparametric fusion


Mathematics Subject Classification ID

Pattern recognition, speech recognition (68T10)


Related Items (2)

A novel method for combining Bayesian networks, theoretical analysis, and its applications ⋮ Taxonomy for characterizing ensemble methods in classification tasks: a review and annotated bibliography




Cites Work

  • Bagging predictors
  • Arcing classifiers. (With discussion)
  • Bagging, boosting and the random subspace method for linear classifiers
  • Optimal design of neural networks using the Taguchi method
  • Dynamic classifier selection based on multiple classifier behaviour




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