[UAI] ICML-2001 Call for Tutorial Proposals

From: Andrea Danyluk (andrea@cs.williams.edu)
Date: Fri Dec 01 2000 - 11:27:32 PST

  • Next message: Nadine Gisler: "[UAI] New Letter"

    Call for Tutorial Proposals
    International Conference on Machine Learning (ICML-2001)

    The ICML-2001 Organizing Committee invites proposals for tutorials to be

    presented at the Eighteenth International Conference on Machine Learning

    (ICML-2001). ICML-2001 tutorials will be held on the first day of the
    conference, June 28, at Williams College, the site of all ICML events.
    Anyone interested in presenting a tutorial at the conference should
    submit a proposal as outlined below.

    ICML tutorials will provide conference participants with an opportunity
    to learn about important advances in the science and practice of machine

    learning. Tutorials will cover both recent advances that are of broad
    interest, and more mature topics that may be unfamiliar to a significant

    portion of the field. Tutorials are included in the registration fees
    of
    all participants, and will be an integral part of the conference. Each
    tutorial will last two hours.

    Topics

    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 that summarize recent technical advances in a
    core area of machine learning (e.g., support vector machines, recent
    approaches to evaluating machine learning techniques such as
    bias-variance analysis) or that summarize techniques recently introduced

    from other fields (e.g., expectation-maximization). We are
    also interested in tutorials that educate the community about more
    mature
    techniques from machine learning and statistics that are still
    unfamiliar
    to part of the community (e.g., time series analysis, a review of
    commercial data mining tools). Finally, we are interested in tutorials
    that present basic knowledge necessary to bridge the gap between machine

    learning and another field of science that could offer unique technical
    insights or opportunities for innovative applications of machine
    learning
    (e.g., information retrieval, genetic analysis, or social network
    analysis).

    Proposals

    Proposals should provide sufficient information to evaluate the quality
    and importance of the topic, the likely quality of the presentation
    materials, and the speakers¹ 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.

    Proposals should be 3-5 pages long and contain at least the following
    information:

       - Description: A short paragraph summarizing the topic of the
         tutorial.

       - Goal: Who is the target audience? What will the audience
         learn? Why do they need to know it?

       - Prerequisites: What knowledge are audience members assumed
         to have before entering the tutorial?

       - Content: Detailed outline of the topics to be presented.
         If possible, provide samples of past tutorial slides or
         teaching materials.

       - Presenters: The name, mailing address, phone number, e-mail
         address, and webpage of each presenter. In addition,
         indicate presenters' background in the tutorial area.

    Important Dates

        Feb 12, 2001 Proposals due
        Feb 26, 2001 Notification of acceptance
        Mar 12, 2001 Abstracts due
        May 14, 2001 Tutorial notes due

    Proposals will be reviewed by the tutorial chair and members of the
    organizing committee. Please submit either two hard copies of proposals

    or electronic submissions in text, PostScript, or PDF. Proposals should

    be mailed to:

        David Jensen
        Department of Computer Science
        140 Governor's Drive
        University of Massachusetts
        Amherst, MA 01003
        Tel: 413-545-9677
        Fax: 413-545-1249
        jensen@cs.umass.edu

    Additional Information

    For additional information, see the conference web site:

        http://www.ecn.purdue.edu/icml2001/

    which will provide additional details as they become available. If you
    have questions about ICML-2001, please send electronic mail to
    icml2001@ecn.purdue.edu.



    This archive was generated by hypermail 2b29 : Fri Dec 01 2000 - 11:33:28 PST