Monday, September 20, morning

• Robot skill Learning

  Jan Peters, MPI for Biological Cybernetics, Tübingen, Germany

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• Sparse methods for machine learning: Theory and algorithms

  Francis Bach and Guillaume Obozinski (INRIA - Ecole Normale Superieure, Paris)

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• Mining Sets of Patterns

  Björn Bringmann (Katholieke Universiteit Leuven, Belgium), Siegfried Nijssen (Katholieke Universiteit Leuven, Belgium), Nikolaj Tatti (University of Antwerp, Belgium), Jilles Vreeken (University of Antwerp, Belgium) and Albrecht Zimmermann (Katholieke Universiteit Leuven, Belgium)

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Monday, September 20, afternoon

• Algorithms for Predicting Structured Data

  Thomas Gärtner (Fraunhofer IAIS, Bonn, Germany) and Shankar Vembu (University of Illinois at Urbana-Champaign, USA)

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• A Bayesian Look at Statistical Machine Learning

  Wray Buntine (NICTA, Sydney, Australia)

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Friday, September 24, morning

• Web mining

  Ricardo Baeza-Yates, Yahoo! Research, Barcelona

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• Preference Learning

  Johannes Fürnkranz (TU Darmstadt, Germany) and Eyke Hüllermeier (Universität Marburg, Germany)

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• Learning from Evolving Data

  Myra Spiliopoulou (University of Magdeburg, Germany), Joao Gama (LIAAD - INESC Porto), Ernestina Menasalvas (Universidad Politecnica de Madrid, Spain) and Athina Vakali (Aristotle University of Thessaloniki, Greece)

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