Evolving multi-label classification rules by exploiting high-order label correlations

Shabnam Nazmi,Xuyang Yan,Abdollah Homaifar,Emily Doucette

Neurocomputing（2020）

引用 14|浏览13

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摘要

•MLR is a multi-label classification method that extends UCS through the LP technique.•MLR exploits high-order label correlations and addresses the incompleteness of LP.•The theoretical analysis provides approximate bounds for the expected rule fitness.

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关键词

Multi-label classification,High-order label correlations,Label powerset,Learning classifier systems,Genetic algorithms

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