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Publication Details

  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).


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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