Publication Details
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Author(s): G. Tsoumakas, E. Spyromitros-Xioufis, J. Vilcek, I. Vlahavas.
Title: “Mulan: A Java Library for Multi-Label Learning”.
Availability:
Click here to download the PDF (Acrobat Reader) file (4 pages).
Keywords:
Appeared in:
Journal of Machine Learning Research, 12, pp. 2411-2414, 2011. Abstract: Mulan is a Java library for learning from multi-label data. It offers a variety of classiffication,
ranking, thresholding and dimensionality reduction algorithms, including an algorithm for
learning from hierarchically structured labels. In addition, it contains an evaluation framework that calculates a rich variety of performance measures.
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