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Open research directions for multi label learning

机译:开放研究方向以进行多标签学习

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Multi Label Learning (MLL) is a very interesting research area that has attracted many researchers in the last few years. MLL consists of three main tasks, where the first task is the Multi Label Classification (MLC), and the second task is the Label Ranking (LR) task. The third task is a generalization of the first two tasks, and called Multi Label Ranking (MLR). This paper aims to introduce the main open research directions in MLL, to help other researches, to consider these open research directions. The open research directions suggested in this paper are based on a wide variety and recent papers in the domain of MLL.
机译:多标签学习(MLL)是一个非常有趣的研究领域,最近几年吸引了许多研究人员。 MLL由三个主要任务组成,其中第一个任务是多标签分类(MLC),第二个任务是标签排名(LR)任务。第三个任务是前两个任务的概括,称为多标签排名(MLR)。本文旨在介绍MLL的主要开放研究方向,以帮助其他研究,考虑这些开放研究方向。本文建议的开放研究方向是基于MLL领域中的各种最新论文。

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