IEEE - Institute of Electrical and Electronics Engineers, Inc. - An Empirical Comparison Of Feature Selection Methods In Problem Transformation Multi-label Classification

Author(s): J. M. Rodriguez ; D. Godoy ; A. Zunino
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 August 2016
Volume: 14
Page(s): 3,784 - 3,791
ISSN (Paper): 1548-0992
DOI: 10.1109/TLA.2016.7786364
Regular:

Multi-label classification (MLC) is a supervised learning problem in which a particular example can be associated with a set of labels instead of a single one as in traditional classification.... View More

Advertisement