Multi-label Problem Transformation Methods: a Case Study
نویسندگان
چکیده
منابع مشابه
Multi-label Problem Transformation Methods: a Case Study
Traditional classification algorithms consider learning problems that contain only one label, i.e., each example is associated with one single nominal target variable characterizing its property. However, the number of practical applications involving data with multiple target variables has increased. To learn from this sort of data, multi-label classification algorithms should be used. The tas...
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Multi-label classification has gained significant interest in recent years, paralleled by the increasing use of manual multilabelling, often known as applying“tags”to documents. Well known examples include Flickr, YouTube, CiteULike and Google Bookmarks. This paper focuses on Problem Transformation (PT) as an approach to multi-label classification and details these methods as well as their resp...
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ژورنال
عنوان ژورنال: CLEI Electronic Journal
سال: 2011
ISSN: 0717-5000
DOI: 10.19153/cleiej.14.1.4