A Tutorial on Multilabel Learning
A Tutorial on Multilabel Learning
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DOI：
10.1145/2716262
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发表时间：
2015-04-01
影响因子：
16.6
通讯作者：
Ventura, Sebastian
中科院分区：
文献类型：
--
作者：
Gibaja, Eva;Ventura, Sebastian
在过去的几年里，多标签学习已经成为一种相关的学习范式，因为它可以应用的领域越来越多，而且正在开发的技术也越来越多。本文介绍了一个关于多标签学习的最新教程，介绍了范式并描述了开发的主要贡献。评估措施，应用领域，趋势主题和资源也被提出。
Multilabel learning has become a relevant learning paradigm in the past years due to the increasing number of fields where it can be applied and also to the emerging number of techniques that are being developed. This article presents an up-to-date tutorial about multilabel learning that introduces the paradigm and describes the main contributions developed. Evaluation measures, fields of application, trending topics, and resources are also presented.