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ICML 2005, Bonn, Germany - call for tutorial (deadline: Febr 11, 2005) and workshop (Deadline: Dec 17, 2004) proposals

From: lauth <ina.lauth@ais.fraunhofer.de>
Date: Wed, 10 Nov 2004 19:25:40 +0100
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Cc: <Hendrik.Blockeel@cs.kuleuven.ac.be>, <Saso.Dzeroski@ijs.si>, "Stefan Wrobel" <stefan.wrobel@ais.fraunhofer.de>, "Luc De Raedt" <deraedt@informatik.uni-freiburg.de>, "Michael Dr. May" <michael.may@ais.fraunhofer.de>, "Codrina Lauth" <codrina.lauth@ais.fraunhofer.de>
Message-ID: <013d01c4c753$1f266740$e8971a81@laplauth>
(apologies for multiple copies)
 
ICML 2005 call for workshop and tutorial proposals below.
Submission deadlines: Dec 17, 2004 (workshops) - Feb 11, 2005
(tutorials)
http://icml2005.ais.fraunhofer.de/call_for_proposals.php 
 
------------------------------------------------------------------------
---------------------
                
  The 22nd International Conference On Machine Learning (ICML 2005)
                   August 7-11, 2005, Bonn, Germany
                 http://icml2005.ais.fraunhofer.de
<http://icml2005.ais.fraunhofer.de/>  
 
               Call for Workshop and Tutorial Proposals
 
------------------------------------------------------------------------
------------------------
 
The ICML 2005 Organizing Committee invites proposals for workshops and
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 workshops and tutorials will be held on August 7 and 11.
 
Workshops provide organizers and participants with an opportunity to
focus intensively on a specific topic in machine learning. Workshops can
choose to concentrate on emerging research topics, but can also be
devoted to application issues, or to questions concerning the economic
and social aspects of machine learning.  Proposals that aim at a
cross-fertilization between machine learning and one of the topics of
the co-located conferences are particularly welcome.
 
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.
 
For practical information on the workshops and tutorials, and for
details on the submission procedure, see below or refer to the detailed
calls for workshops and tutorials that are available at
http://icml2005.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 Workshop
 
Workshop proposals should contain the necessary information for the
workshop chair and reviewers from the conference organizing committee to
judge the importance, quality and community interest in the proposed
topic. Each workshop should have one or more designated organizers and a
workshop program committee. When proposing a workshop, please provide
(at least) the following information:
 
* Topic -- What will the workshop be about? Why do you believe this is
an interesting and significant topic? Why is the topic best addressed in
an ICML workshop, as opposed to a workshop at another conference or
papers in an ICML technical session?
 
* Goals -- What do you expect will come out of the workshop? How will
the workshop change the participants' understanding of the area? Do you
think it will have an impact on the Machine Learning community at large?
 
* Intended audience -- From which areas do you expect potential
participants to come? How many participants do you expect? Can you
already name some of them?
    
* Format -- How will the workshop sessions be scheduled? How much time
will be used for discussion, panel discussions, paper presentations,
invited talks, or other methods for encouraging communication and
consensus? Organizers are encouraged to focus on mechanisms other than
traditional paper presentations and to differentiate themselves clearly
from typical conference sessions.
 
* Publicity -- How do you intend to publicize the workshop? How will you
reach the most interested and appropriate participants? Are there any
plans to document the workshop results (beyond ICML's web publication)?
    
* Organizers -- Please include the name, postal address, phone number,
e-mail address, and webpage of all members of the program committee. In
addition, indicate the organizers' background in the workshop area.
 
Proposals should be submitted in electronic form to: Hendrik Blockeel
E-mail: hendrik.blockeel@cs.kuleuven.ac.be
 
Important Dates
 
    Dec 17, 2004        Proposal deadline
    Jan  7, 2005        Acceptance notification
    Jan 21, 2005        Publicity Materials Due
    Apr  1, 2005        WS Paper submission deadline
    Apr 22, 2005        Notification of participants
    May 13, 2005        WS final paper deadline
    May 20, 2005        Workshop notes due (on-line)
 
URL
 
http://icml2005.ais.fraunhofer.de/call_for_proposals.php 
 
 
 
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>
http://icml2005.ais.fraunhofer.de/call_for_proposals.php 
 
 
Have a look at the EU-funded project:   <http://www.kdnet.org>
www.kdnet.org
 
Received on Wednesday, 10 November 2004 18:39:28 UTC

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