An asymmetric classifier based on partial least squares

DOI10.1016/J.PATCOG.2010.05.002zbMath1213.68544OpenAlexW2120841116MaRDI QIDQ991957

Guo-Zheng Li, Hai-Ni Qu, Wei-sheng Xu

Publication date: 8 September 2010

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

Full work available at URL: https://doi.org/10.1016/j.patcog.2010.05.002

zbMATH Keywords

classificationpartial least squaresdimension reductionunbalanced data

Mathematics Subject Classification ID

Pattern recognition, speech recognition (68T10)

Related Items (2)

Least squares twin multi-class classification support vector machine ⋮ Regularized receiver operating characteristic-based logistic regression for grouped variable selection with composite criterion

Uses Software

• UCI-ml
• SMOTE

Cites Work

• Bagging predictors
• The effect of imbalanced data sets on LDA: a theoretical and empirical analysis
• Cost-sensitive boosting for classification of imbalanced data
• A penalized likelihood based pattern classification algorithm
• Do unbalanced data have a negative effect on LDA?
• Bootstrap FDA for counting positives accurately in imprecise environments
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