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The 21st International Conference On Machine Learning (ICML-04)
July 4-8, 2004, Banff, Alberta, Canada
Call For Tutorial Proposals
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The ICML-2004 Organizing Committee invites proposals for tutorials to
be held at the 21st International Conference on Machine Learning
(ICML-2004), which will take place July 4-8, 2004, in Banff, Alberta,
Canada. ICML-2004 will be co-located with the Computational Learning
Theory (COLT-04) and Uncertainty in AI (UAI-04) conferences (see
<http://www.banff04.org>). The tutorials will be held on July 4th, in
parallel with joint COLT and ICML sessions on kernel-based methods
(Kernel Day). We made reservations for two larger (< 150 participants)
and two smaller rooms (40 and 80 participants), so we can host up to 4
full-day or up to 8 half-day tutorials.
We seek tutorial proposals on core techniques and areas of knowledge
that should be broadly known within the machine learning community. We
are interested in tutorials on established or emerging research topics
within the field itself, but we also welcome tutorials from related
research fields or application areas provided that they are of
sufficient interest to the machine learning community. Proposals that
aim at a cross-fertilization between Machine Learning and one of the
topics of the co-located conferences are particularly welcome.
The ideal tutorial should attract a wide audience. It should be broad
enough to provide a gentle introduction to the chosen research area, but
it should also cover the most important works in depth. Proposals that
exclusively focus on the presenters' own work or commercial
presentations are not eligible. Presenters are expected to prepare
tutorial notes prior to the conference, so that they can be made
available in time.
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:
Johannes Fuernkranz
E-mail: [EMAIL PROTECTED]
Important Dates
Feb 13, 2004 Proposal deadline
Feb 25, 2004 Acceptance notification
Mar 5, 2004 Tutorial Abstracts due
May 7, 2004 Tutorial notes due
URL
<http://www.oefai.at/icml-04/cftp.html>.
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