Special Track on
Ranking, Multi-Label Classification and Preference Learning
GfKl-05 <http://www.gfkl.de/gfkl2005/>
Magdeburg, Germany, 9-11 March 2005
Focus
This track focusses on learning techniques for tackling prediction
problems that transgress the two traditional disciplines, classification
(prediciton of categorical variables) and regression (prediction of
numerical variables). In particular, it will focus on approaches that
predict more complex structures such as ordered categories, hierarchies,
sets, lists, partial or total relations, etc.
Papers that describe algorithms, theoretical results or applications in
these areas are of interest for this special track.
Submission of Abstracts
Participants intending to present a talk are requested to submit an
abstract <http://omen.cs.uni-magdeburg.de/itikmd/index.php?id=121> at
the main conference site. The abstract will be reviewed, and authors of
accepeted abstracts will be invited to submit a full version of the
paper to the post-conference proceedings (which will undergo a second
round of reviewing). The proceedings will be published by
Springer-Verlag in the 'Studies in Classification, Data Analysis, and
Knowledge Organization' series.
Track Chairs
Johannes Fürnkranz
TU Darmstadt, Knowledge Engineering Group
E-mail: [log in to unmask]
<mailto:[log in to unmask]>
Eyke Hüllermeier
Philipps-Universität Marburg, FB Mathematik und Informatik
E-mail: [log in to unmask]
<mailto:[log in to unmask]>
Important Dates
November 1, 2004: Deadline for abstract submission
January 17, 2005: Notification of acceptance
March 9 - 11, 2005: Conference
April 24, 2005: Submission of full paper
--
Johannes Fuernkranz
Knowledge Engineering Group, TU Darmstadt
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