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C A L L F O R P A P E R S
EURO Mini conference
DA2PL'2016: From Multiple Criteria Decision Aid to Preference Learning
Paderborn, Germany, November 7-8, 2016
https://homepages.uni-paderborn.de/kiudee/
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The DA2PL workshop has been launched with the goal of bringing together
researchers from operations research and the decision sciences with
scholars from machine learning. It aims at providing a forum for
discussing recent advances and identifying new research challenges in
the intersection of both fields, which is marked by the growing field of
preference learning, thereby supporting a cross-fertilisation of these
disciplines.
Following the two previous editions of this workshop, which took place
in Mons in 2012 and Paris in 2014, DA2PL'2016 will be held at the
University of Paderborn, Germany. Supported by the Association of
European Operational Research Societies, it will this time be organized
in the form of a EURO Mini Conference.
DA2PL'2016 solicits contributions to the usage of theoretically
supported preference models and formalisms in preference learning as
well as communications devoted to innovative preference learning methods
in decision analysis and multicriteria decision aiding. Specific topics
of interest include, but are not limited to
-- quantitative and qualitative approaches to modelling preferences,
user feedback and training data;
-- preference representation in terms of graphical models, logical
formalisms, and soft constraints;
-- dealing with incomplete and uncertain preferences;
-- preference aggregation and disaggregation;
-- learning utility functions using regression-based approaches;
-- preference elicitation and active learning;
-- preference learning in combinatorial domains;
-- learning relational preference models and related regression problems;
-- classification problems, such as ordinal and hierarchical classification;
-- inducing monotonic decision models for preference representation;
-- comparison of different preference learning paradigms (e.g.,
monolithic vs. decomposition);
-- ranking problems, such as object ranking, instance ranking and label
ranking;
-- complementarity of preference models and hybrid methods;
-- explanation of recommendations;
-- applications of preference learning, such as web search, information
retrieval, electronic
commerce, games, personalization, recommender systems, ...
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Submissions
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Submissions must be written in English and formatted according to the
electronic template that is available on the conference website. The
page limit is 6 for full papers, although extended abstracts (two pages
as the maximum) are welcome, too. Submissions are managed through
www.easychair.org. Each paper submitted to DA2PL will be reviewed by two
referees.
This year we provide an opportunity for doctoral students to explore and
develop their research interests. A special session at the conference
will be devoted for PhD students to present and discuss their ongoing
research work. Therefore we encourage young researchers to submit their
work also via submission site.
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Important Dates
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Paper submission deadline: August 22, 2016
Author notification: September 30, 2016
Camera-ready version: October 21, 2016
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Keynote Speakers
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Johannes Fürnkranz, TU Darmstadt, Germany
Marina Meila, University of Washington, USA: Discovering consensus and
structure in preferences
Jerome Lang, Univ. Paris Dauphine, France: From social choice to
preference learning
Patrice Perny, UPMC, France: Incremental Elicitation for Decision Making
on Combinatorial Domains
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Organization and Contact
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Conference Chair: Eyke Hüllermeier, Paderborn University (e...@upb.de)
Program Chairs: Robert Busa-Fekete, Paderborn University (busar...@upb.de)
Vincent Mousseau, CentraleSupélec, Paris
(vincent.mouss...@centralesupelec.fr)
Local Chair: Karlson Pfannschmidt, Paderborn University (kiu...@mail.upb.de)
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