The improved AdaBoost algorithms for imbalanced data classification

DOI10.1016/j.ins.2021.03.042zbMath1527.68199OpenAlexW3144804712MaRDI QIDQ6086268

Wenyang Wang, Dongchu Sun

Publication date: 9 November 2023

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2021.03.042

zbMATH Keywords

AdaBoostimbalanced data problemweighted parameters adjustment

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05)

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Cites Work

• Unnamed Item
• Cost-sensitive boosting for classification of imbalanced data
• A decision-theoretic generalization of on-line learning and an application to boosting
• Improved boosting algorithms using confidence-rated predictions

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