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Computer Science

Binary relevance for multi-label learning: an overview

Min-Ling Zhang, Yukun Li, Xu-Ying Liu, Xin Geng

2018.3.22Frontiers of Computer Science

DOI: 10.1007/s11704-017-7031-7

tlooto Summary

This paper aims to review the state of the art of binary relevance from three perspectives, and some of the recent studies on binary relevance aimed at issues other than label correlation exploitation are introduced.

Abstract

Abstract is not available.

Citation format

ZHANG, Min-Ling, et al. Binary relevance for multi-label learning: An overview. Frontiers of Computer Science, 2018, 12: 191–202.