- Budgeted Learning,
Dragos Margineantu, Russell Greiner, Tomas Singliar and Prem Melville
- Learning from Multi-Label Data,
Min-Ling Zhang, Grigorios
Tsoumakas and Zhi-Hua Zhou
- Learning in Non-(geo)metric Spaces,
Joachim Buhmann, Robert
Duin, Mario Figueiredo, Edwin Hancock, Vittorio Murino and Marcello Pelillo
- Learning to Rank Challenge,
Tie-Yan Liu, Olivier Chapelle and Yi Chang
- Machine Learning and Games,
Kurt Driessens, Olana Missura and
Christian Thurau
- Machine Learning and Open Source Software,
Soeren Sonnenburg, Mikio Braun, Cheng Soon Ong and Patrik Hoyer
- Reinforcement Learning and Search in Very Large Spaces,
Peter Auer, Samuel Kaski and Csaba Szepesvari
- Social analytics: Learning from Human Interactions,
Elad Yom-Tov, Shie Mannor and Yossi Richter
- Topic Models; Structure, Applications, Evaluation, and Extensions,
Michal Rosen-Zvi,
Amit Gruber and Richard Zemel
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