[Elsnet-list] ICML 2005, Bonn, Germany - call for tutorial (deadline: Febr 11, 2005) proposals

lauth ina.lauth at ais.fraunhofer.de
Wed Jan 12 16:07:00 CET 2005

(apologies for multiple copies)
ICML 2005 call for tutorial proposals below.
Submission deadline: Feb 11, 2005
  The 22nd International Conference On Machine Learning (ICML 2005)
                   August 7-11, 2005, Bonn, Germany
               Call for Tutorial Proposals
The ICML 2005 Organizing Committee invites proposals for tutorials to be
held at the 22nd International Conference on Machine Learning (ICML
2005), which will take place August 7-11, 2005, in Bonn, Germany.  ICML
2005 will be co-located with ILP 2005 (15th International Conference on
Inductive Logic Programming, August 10-13) and will closely follow IJCAI
2005 (19th International Joint Conference on Artificial Intelligence,
Edinburgh, July 30 - August 5).
The ICML 2005 tutorials will be held on August 7.
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
For practical information on the tutorials and the detailed calls for
tutorials that are available at
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
* 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
Have a look at the EU-funded project:   <http://www.kdnet.org>
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