Paper Details

  • Title:

    Mulan: A Java Library for Multi-Label Learning

  • Author(s):

    Grigorios Tsoumakas, E. Spyromitros-Xioufis, J. Vilcek, I. Vlahavas

  • 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.

  • Category: Journal Papers
  • Tags: 2011 Tsoumakas Spyromitros Vilcek Vlahavas