French Spring School in Machine Learning

We invite applications to attend the 1st French Spring School in Machine
Learning (EPAT 2010) which will be held at Cap Hornu, in the beautiful Baie
de Somme, from may 2 to may 7 2010. Detailed information is available at

http://www.hds.utc.fr/epat2010/

Targeted Audience:

The school is meant for PhD students, young researchers in machine
learning and researchers from other research areas, such as signal
processing or bioinformatics.
Limited grants are available for PASCAL researchers.
Note that the lectures will be given in French.

Application deadline: April 2, 2010

Aims:

Our objective is to gradually present a few important themes, from basics to
recent advances. The selected themes are:

– Machine Learning: a Historical Perspective
– Optimization Techniques for Non-differentiable Problems in ML
– Kernel Methods
– Data Analysis
– Bioinformatics

Confirmed Lecturers:

Stéphane Chrétien, Université de Franche Comté
Antoine Cornuéjols, AgroParisTech
Marco Cuturi, Princeton University
Mohamed Nadif , Université Paris Descartes
Stéphane Robin, Institut National de la Recherche Agronomique (INRA)
Jean-Philippe Vert, Mines ParisTech & Institut Curie, INSERM

Program Committee:

Stéphane Canu, LITIS, INSA Rouen
Antoine Cornuéjols, LRI, AgroParisTech
François Denis, LIF, Université de Provence
Rémi Gilleron, INRIA, Lille
Yves Grandvalet, Heudiasyc, Université de Technologie de Compiègne
Rémi Munos, Mostrare INRIA, Université de Lille
Liva Ralaivola, LIF, Université de Provence
Marc Sebban, Laboratoire Hubert Curien, Université Jean Monnet
Jean-Philippe Vert, Mines ParisTech & Institut Curie, INSERM

Organisers:

Heudiasyc, CNRS and University of Compiègne joint research unit, France
CNRS, Nord-Pas de Calais & Picardie delegation.

Supported by PASCAL, Heudiasyc, CNRS, UT Compiègne, Picardie, INRIA, GdR BiM, SFdS