TML workshop 2008

Laboratoire Hubert Curien, May 6-7, 2008

Saint-Étienne
May, 6-7, 2008

Teaching Machine Learning

May, 6-7, 2008. Pôle Optique Rhône-Alpes, Saint-Étienne, France.

Goal Scope Papers Dates Committees Registration and practical issues Program

General goal of the workshop

Machine learning has been developing as a research topic with many applications and ramifications to other fields during the past few years. This has led to seeing the research activities in Machine Learning organised by major conferences, journals and networks. Today, having a background in Machine Learning is a major asset for students, whether to apply for academic or industrial positions. On the other hand very little focused attention has been played on the question of how these students were to receive this background. Important questions such as the following have only received local attention:

• At what level should machine learning be taught?
• What are the experiments? Who is teaching machine learning?
• Due to the many links with mathematics, algorithmics, applications (linguistics, biology, ...), but also to the strong experimental component, who should the targeted students be? What background should they have?
• What material (books, software, benchmarks, video-lectures, world wide web) can we find today for teaching machine learning?

The NOE PASCAL 2, following on initiatives like the machine learning summer schools, the analysis of patterns schools and the PASCAL bootcamp, proposes to help coordinate the energies over this question.

The aim of the TML '08 workshop is to bring together researchers and practitioners that are interested in the teaching and education aspect of the field. A particular attention will be kept for the Masters level, which is felt to be the possible place where leverage is best and where the tools that can be provided today by the EC in order to build collaborative courses over different countries are best suited.

Researchers, practitioners and educators are invited to contribute to and participate in the workshop.

Scope

The workshop will address issues specific to Teaching Machine Learning including, but not restricted to:

• Innovative approaches to learning and teaching ML
• Approaches for improving the students' learning experience (Undergraduate and/or Graduate)
• Incorporating ML research into ML courses
• The integration of theory and practice
• Tools for supporting teaching and learning ML
• ML applications to assist in class instruction

Papers submission

Dates

Committees

Program Committe

• Jose Balcázar, Universitat Politècnica de Catalunya, Barcelona
• David Barber, University College London, London
• Nello Christianini, University of Bristol
• Ricard Gavaldá, Universitat Politècnica de Catalunya, Barcelona
• Marko Grobelnik, Jožef Stefan Institue, Ljubljana
• Mark Herbster, University College London, London
• Samuel Kaski, Helsinki University of Technology , Helsinki
• Dunja Mladenic, Jožef Stefan Institue, Ljubljana
• Luisa Micó, Universidad de Alicante, Alicante
• Gunnar Rätsch, Max Planck institute, Tübingen
• Bernhard Schölkopf, Max Planck Institute, Tübingen
• Marc Sebban, University of Saint-Étienne
• John Shawe-Taylor, University College London, London

Organising Committee

• Colin de la Higuera
• Sabri Bayoudh
• Marc Bernard
• Jean-Christophe Janodet
• Dalila Brahmi
• Christine Largeron
• Laurent Boyer
• Christophe Moulin
• Thierry Murgue
• Baptiste Jeudy
• Émilie Samuel
• Stéphanie Jacquemont
• Marc Sebban
• François Jacquenet
• Stéphanie Soleillant
• Frédéric Tantini

Registration and Practical issues

Registration

1. Please send a mail to tml08@univ-st-etienne.fr with a short paragraph expressing your interest in the theme
2. Upon receipt of a password, register online.

Registration should be done online at this address

Practical issues

You can get to Saint-Étienne by plane (to Lyon Saint-Exupery airport), by train or by car. Indications as how to get to the lab can be found on this webpage.