Volume 88, Issue 1-2, July 2012

In this issue (9 articles)

1. Editorial

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

   Grigorios Tsoumakas, Min-Ling Zhang, Zhi-Hua Zhou Pages 1-4

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2. OriginalPaper

   On label dependence and loss minimization in multi-label classification

   Krzysztof Dembczyński, Willem Waegeman, Weiwei Cheng, Eyke Hüllermeier Pages 5-45

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3. OriginalPaper

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

   Yiming Yang, Siddharth Gopal Pages 47-68

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4. OriginalPaper

   Compressed labeling on distilled labelsets for multi-label learning

   Tianyi Zhou, Dacheng Tao, Xindong Wu Pages 69-126

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5. OriginalPaper

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

   Bharath Hariharan, S. V. N. Vishwanathan, Manik Varma Pages 127-155

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6. OriginalPaper

   Statistical topic models for multi-label document classification

   Timothy N. Rubin, America Chambers, Padhraic Smyth, Mark Steyvers Pages 157-208

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7. OriginalPaper

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

   Nicolò Cesa-Bianchi, Matteo Re, Giorgio Valentini Pages 209-241

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8. OriginalPaper

   Scalable and efficient multi-label classification for evolving data streams

   Jesse Read, Albert Bifet, Geoff Holmes, Bernhard Pfahringer Pages 243-272

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9. OriginalPaper

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

   Jianjun He, Hong Gu, Zhelong Wang Pages 273-295

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