1. Introduction to the special issue on learning from multi-label data

   • Grigorios Tsoumakas
   • Min-Ling Zhang
   • Zhi-Hua Zhou

   Editorial 27 April 2012 Pages: 1 - 4

2. On label dependence and loss minimization in multi-label classification

   • Krzysztof Dembczyński
   • Willem Waegeman
   • Eyke Hüllermeier

   OriginalPaper Open access 08 June 2012 Pages: 5 - 45

   

3. Multilabel classification with meta-level features in a learning-to-rank framework

   • Yiming Yang
   • Siddharth Gopal

   OriginalPaper 15 December 2011 Pages: 47 - 68

4. Compressed labeling on distilled labelsets for multi-label learning

   • Tianyi Zhou
   • Dacheng Tao
   • Xindong Wu

   OriginalPaper 06 January 2012 Pages: 69 - 126

5. Efficient max-margin multi-label classification with applications to zero-shot learning

   • Bharath Hariharan
   • S. V. N. Vishwanathan
   • Manik Varma

   OriginalPaper 03 May 2012 Pages: 127 - 155

   

6. Statistical topic models for multi-label document classification

   • Timothy N. Rubin
   • America Chambers
   • Mark Steyvers

   OriginalPaper 29 December 2011 Pages: 157 - 208

7. Synergy of multi-label hierarchical ensembles, data fusion, and cost-sensitive methods for gene functional inference

   • Nicolò Cesa-Bianchi
   • Matteo Re
   • Giorgio Valentini

   OriginalPaper 17 December 2011 Pages: 209 - 241

8. Scalable and efficient multi-label classification for evolving data streams

   • Jesse Read
   • Albert Bifet
   • Bernhard Pfahringer

   OriginalPaper 21 February 2012 Pages: 243 - 272

   

9. Bayesian multi-instance multi-label learning using Gaussian process prior

   • Jianjun He
   • Hong Gu
   • Zhelong Wang

   OriginalPaper 10 March 2012 Pages: 273 - 295