A Review on Multi-Label Learning Algorithms

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 t...

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Vydáno v:	IEEE transactions on knowledge and data engineering Ročník 26; číslo 8; s. 1819 - 1837
Hlavní autoři:	Zhang, Min-Ling, Zhou, Zhi-Hua
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York IEEE 01.08.2014 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Algorithm design and analysis Artificial Intelligence Computing Methodologies Correlation Data mining Database Applications Database Management Information Technology and Systems Learning Machine learning algorithms Semantics Supervised learning Training Vectors Multi-label learning problem transformation algorithm adaptation label correlations
ISSN:	1041-4347, 1558-2191
On-line přístup:	Získat plný text
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