[UAI] Special Issue if the Artificial Intelligence in Medicine Journal

From: Basilio Sierra Araujo (ccpsiarb@si.ehu.es)
Date: Wed Mar 27 2002 - 09:29:37 PST

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                ** HYBRID AND MULTI-LAYERED CLASSIFIERS IN MEDICINE **
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                               Special issue of
               the Artificial Intelligence in Medicine journal

    For details, see
    http://www.sc.ehu.es/ccwbayes/AIM/aimej-cfp.html

    o Submission deadline: 11th October, 2002
    o Notification of acceptance: 19th December, 2002
    o Final paper: 23th Jaunary, 2003
    o Special issue: middle of 2003

    Contributions are solicited for a special issue of the Artificial
    Intelligence in Medicine journal on the theme of "Hybrid and Multi
    Classifiers in Medicine".

    Combining the predictions of a set of classifiers has shown to be an
    effective way to create composite classifiers that are more accurate than
    any of the component classifiers.
    There are many methods for combining the predictions given by component
    classifiers.

    During the past several years, in a variety of application domains,
    researchers in machine learning, computational learning theory, pattern
    recognition and statistics have re-ignited the effort to learn how to
    create and combine an ensemble of classifiers. This research has the
    potential to apply accurate composite classifiers to real world problems
    by intelligently combining known learning algorithms.

    Classifier combination falls within the supervised learning paradigm. This
    task orientation assumes that we have been given a set of training
    examples, which are customarily represented by feature vectors. Each
    training example is labelled with a class target, which is a member of a
    finite, and usually small set of class labels. The goal of supervised
    learning is to predict the class labels of examples that have not been
    seen.

    Combining the predictions of a set of component classifiers has shown to
    yield accuracy higher than the most accurate component on a long variety
    of supervised classification problems.
    Submissions will be refereed by at least two and in most cases three
    referees. Accepted papers will appear in the
    special issue of the journal Artificial Intelligence in Medicine on Hybrid
    and Multi-Layered Classifiers in Medicine.

    TOPICS
    The guest editor invites submissions of original research
    contributions that will discuss one or more artificial
    intelligence (Machine Learnig, Pattern Recognition, Data Mining)
    topics related with supervised and/or unsupervised classifier
    combination in order to outperform the accuracies.

    For more information about the special issue, please contact
    the editor:

    Basilio Sierra, ccpsiarb@si.ehu.es

    or consult http://www.sc.ehu.es/AIM/aimej-cfp.html.

    - --

    Basilio Sierra
    Dept. of Computing Science and Artificial Intelligence
    Basque Country University
    http://www.sc.ehu.es/ccwbayes/members/basilio.htm

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