7-11 August 2005, The 22nd International Conference On Machine Learning (ICML 2005), Bonn, Germany

The 22nd International Conference on Machine Learning (ICML 2005) will be held in Bonn (Germany), 7-11 August 2005. The conference will bring together researchers to exchange ideas and report recent progress in the field of machine learning. ICML 2005 will be co-located with ILP 2005 (August 11-13) and will take place directly after IJCAI 2005, which will take place in Edinburgh (Scotland, July 30 - August 5).

Call for Tutorial Proposals

The ICML 2005 Organizing Committee invites proposals for tutorials, to be held on August 7 and 11. Tutorials should provide an introduction and/or a review of the state-of-the-art of a topic that is of interest to attendants of a machine learning conference. These could be on particular research topics within the two fields, but could also be on topics from other research fields if the proposal makes clear why this is considered to be an important topic for researchers from other areas. A tutorial must be broad enough to cover a research area in which there is a significant publication activity in the community. Presentations that focus on the presenters' own research results or commercial presentations are not eligible. Submission deadline for tutorial proposals is Feb 11, 2005.

For practical information on the tutorials and the detailed calls for tutorials that are available at <http://icml2005.ais.fraunhofer.de/call_for_proposals.php>http://

Tutorial notes and working notes of the workshops will be made available to participants in electronic form prior to the conference. They will also be distributed at the conference itself (CD and paper versions).

How to Propose a Tutorial

Proposals should provide sufficient information to evaluate the quality and importance of the topic, the likely quality of the presentation materials, and the speakers' teaching ability. We encourage tutorials taught by two-person teams because the added perspective of a second presenter can provide richer, more balanced coverage of an area. When proposing a tutorial, please provide (at least) the following information:

• Topic -- What will the tutorial be about? Why do you believe this is an interesting and significant subject for the machine learning community at large?
• Intended audience -- From which areas do you expect potential participants to come? Which prior knowledge, if any, do you expect from the audience? What will the participants learn? How many participants do you expect?
• Content -- Provide a detailed outline of the topics to be presented, including estimates for the time that will be devoted to each subject. If possible, provide samples of past tutorial slides or teaching materials. In case of multiple presenters, specify how you will distribute the work.
• Format -- How will you present the material? Will there be multi-media parts of the presentation? Do you plan software demonstrations? Specify any extraordinary technical equipment that you would need. Will the tutorial be full-day or half-day?
• Presenters -- Please include the name, postal address, phone number, e-mail address, and webpage of all presenters. In addition, indicate the presenters' background and a list of publications in the tutorial area.

Proposals should be submitted in electronic form to: Hendrik Blockeel E-mail: hendrik.blockeel at cs.kuleuven.ac.be

Important Dates

Feb 11, 2005 Proposal deadline
Feb 28, 2005 Acceptance notification
Mar 7, 2005 Tutorial abstracts due
May 20, 2005 Tutorial notes due

URL: http://icml2005.ais.fraunhofer.de/call_for_proposals.php#tutorial

Have a look at the EU-funded project: http://www.kdnet.org