Clubje

IAS machine learning reading club

• 27 March, 11.00, F0.09-Jan Nunnink
  Data Perturbation for Escaping Local Maxima in Learning, Gal Elidan, Matan Ninio, Nir Friedman and Dale Schuurmans, AAAI 2002.
• 20 February, 11.00, F0.13-Nikos Vlassis
  Action respecting embedding, Michael Bowling, Ali Ghodsi, and Dana Wilkinson, In Proceedings of the Twenty-Second International Conference on Machine Learning , pages 65--72, 2005.
• 28 November 2005, 11.00, F0.09-Athanasios Noulas
  Space-Time Behavior Based Correlation, Eli Shechtman and Michal Irani, Computer Vision and Pattern Recognition 2005
• 4 November 2005, 1.00p, F0.13-Matthijs Spaan
  Dynamic Programming for Partially Observable Stochastic Games, E. Hansen, D. Bernstein and S. Zilberstein, AAAI 2004

Every two weeks a clubje-member will choose a paper, study it and discuss it with the group during a clubje-meeting. A week before the planned meeting I will post a link to the paper on this web-page. Members can then read the paper, however this is not mandatory.

The time planned for the meetings is an hour, which means roughly a half hour explaining the paper and a half hour for discussion. Papers should be recent and should handle a topic in machine learning. You can use a beamer to clarify your talk or just use the white/black-board (mail me, if you plan to use a beamer, so I can (try to) arrange it).

Take a look at the old schedule for inspiration.