Machine Learning Summer School 2004
09/06: updated schedule (minor modifications).
09/03: list of events available (see section Events)
08/25: Due to server problems, the site was off half of last week. please excuse-us about this.
08/25: More information about accomodation in Berder (see bottom of section Getting to Berder).
The Summer School is intended for students and researchers
alike, who are interested in Machine Learning. Its goal is to
present some of the topics which are at the core of modern
Learning Theory. The school will be held in Berder Island, France
between the 12th and the 25th of September, 2004. During this
time, we shall present courses of 4 to 8 hours, each one
covering one of the topics listed below. In addition, there will
be evening talks which will focus on additional topics. Three
practical sessions will be organized in small groups. The goal
is to provide a 'hands-on' experience of working with Machine
Learning algorithms.
French version of the webpage available: click here.
Topics
All courses are in English.
Lectures
- Graphical Models and Variational Methods (C. Bishop,
Microsoft Research)
- Computer Vision (A. Blake,
Microsoft Research)
- Advanced Statistical Learning Theory (O.
Bousquet,
MPI Tübingen)
- Learning and regularization using non positive kernels (S.Canu, INSA Rouen)
- Markov Chain Monte Carlo Methods (C.P. Robert, Université Paris-Dauphine)
- Information Retrieval and Text Mining (T. Hofmann,
Brown University)
- Optimization and Control (J. Moore and K. Hüper,
ANU Canberra)
- Boosting (G.
Rätsch, MPI Tübingen &
Fraunhofer Berlin)
- Introduction to Kernel Methods (B. Schölkopf,
MPI Tübingen)
- Statistical Learning Theory (J. Shawe-Taylor ,
Southampton)
- Exponential Families in Feature Space (A. Smola, ANU
Canberra)
- Signal Processing (M. Davy, IRCCyN
Nantes)
- Machine Learning in Bioinformatics (A. Zien, MPI
Tübingen)
- Machine learning flavor of random matrices. (D. Achlioptas, Microsoft Research, Redmond)
Practical sessions:
- Semi-supervised Learning (O. Chapelle,
MPI Tübingen)
- Simulation Methods (M. Davy, IRCCyN
Nantes)
- Independent Component Analysis (A. Gretton, MPI
Tübingen)
Fancy Graphics
Download the Poster (PDF|PPT),
Organizers
Supported by "Centre National de la Recherche Scientifique", Research
Network AS66 and the PASCAL Network of
Excellence.
Organized by O. Bousquet, M. Davy, F. Desobry, B. Schölkopf and A.
Smola
Advisor: V. Vapnik, Columbia University / NEC Research.
Last modified September 6, 2004
