Logic List Mailing Archive

22nd International Conference on Machine Learning (Bonn, Germany, August 2005)

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

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://icml2
005.ais.fraunhofer.de/call_for_proposals.php

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@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