Machine Learning Summer School - Call for participation

[Manuel.Davy@irccyn.ec-nantes.fr]

* Apologises if you receive this email several times *


           CALL FOR PATICIPATION

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        MACHINE LEARNING SUMMER SCHOOL 2004

     September 12-25, 2004, Berder Island, France

      http://www.irccyn.ec-nantes.fr/mlschool/
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Organised by CNRS (France), MPI for Biological Cybernetics, 
Tuebingen (Germany) and the ANU (Australia)



 ****         Applications are now open            ****
 ****  Deadline for application is May 9th 2004    ****
 ****  For application, please visit our web site  ****


 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 seven 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.  


 Lectures:

    * Graphical Models and Variational Methods (C. Bishop, Microsoft Research)
    * Computer Vision (A. Blake, Microsoft Research)
    * Advanced Statistical Learning Theory (O. Bousquet, MPI Tuebingen)
    * Regularization (S.Canu, INSA Rouen)
    * Simulation Methods (M. Davy, IRCCyN Nantes)
    * Information Retrieval and Text Mining (T. Hofmann, Brown University)
    * Optimization and Control (J. Moore and K. Hueper, ANU Canberra)
    * Boosting (G. Raetsch, MPI Tuebingen & Fraunhofer Berlin)
    * Kernel Methods I (B. Schoelkopf, MPI Tuebingen)
    * Statistical Learning Theory (J. Shawe-Taylor , Southampton)
    * Kernel Methods II (A. Smola, ANU Canberra)
    * Empirical Inference (V. Vapnik, NEC Research)
    * Signal Processing (R. Williamson, ANU Canberra)
    * Machine Learning in Bioinformatics (A. Zien, MPI Tuebingen)
    * Title to come. (D. Achlioptas, Microsoft Research)

 Practical sessions:

     * Semi-supervised Learning (O. Chapelle, MPI Tuebingen)
     * Simulation Methods (Manuel Davy, IRCCyN Nantes)
     * Independent Component Analysis (A. Gretton, MPI Tuebingen)



MLSS organization committee
Olivier Bousquet
Manuel Davy
Frederic Desobry
Bernhard Schoelkopf
Alex Smola

mlss04 at mlss.cc