A Review on Multi-Label Learning Algorithms

@article{Zhang2014ARO,
  title={A Review on Multi-Label Learning Algorithms},
  author={Min-Ling Zhang and Zhi-Hua Zhou},
  journal={IEEE Transactions on Knowledge and Data Engineering},
  year={2014},
  volume={26},
  pages={1819-1837}
}
Multi-label learning studies the problem where each example is represented by a single instance while associated with a set of labels simultaneously. During the past decade, significant amount of progresses have been made toward this emerging machine learning paradigm. This paper aims to provide a timely review on this area with emphasis on state-of-the-art multi-label learning algorithms. Firstly, fundamentals on multi-label learning including formal definition and evaluation metrics are given… CONTINUE READING
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