Boosting label weighted extreme learning machine for classifying multi-label imbalanced data.

Neurocomputing(2020)

引用 20|浏览47
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摘要
•LW-ELM algorithm is integrated into the Boosting ensemble learning framework.•BLW algorithm is designed to address multi-label imbalance classification problem.•BLW adaptively tunes label weights without exploring the prior distribution directly.•Experimental results indicate that the BLW-ELM algorithm is robust and time-saving.
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关键词
Multi-label learning,Class imbalance learning,Extreme learning machine,Adaboost,Generalization ability
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