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URN: urn:nbn:de:0030-drops-45506
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Weitere Beteiligte (Hrsg. etc.): Johannes Fürnkranz and Eyke Hüllermeier ans Cynthia Rudin ans Roman Slowinski and Scott Sanner

Preference Learning (Dagstuhl Seminar 14101)

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Abstract

This report documents the program and the outcomes of Dagstuhl Seminar 14101 "Preference Learning". Preferences have recently received considerable attention in disciplines such as machine learning, knowledge discovery, information retrieval, statistics, social choice theory, multiple criteria decision making, decision under risk and uncertainty, operations research, and others. The goal of this seminar was to showcase recent progress in these different areas with the goal of working towards a common basis of understanding, which should help to facilitate future synergies.

BibTeX - Entry

@Article{frnkranz_et_al:DR:2014:4550,
  author =	{Johannes F{\"u}rnkranz and Eyke H{\"u}llermeier and Cynthia Rudin and Roman Slowinski and Scott Sanner},
  title =	{{Preference Learning (Dagstuhl Seminar 14101)}},
  pages =	{1--27},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2014},
  volume =	{4},
  number =	{3},
  editor =	{Johannes F{\"u}rnkranz and Eyke H{\"u}llermeier ans Cynthia Rudin ans Roman Slowinski and Scott Sanner},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2014/4550},
  URN =		{urn:nbn:de:0030-drops-45506},
  doi =		{10.4230/DagRep.4.3.1},
  annote =	{Keywords: machine learning, preference learning, preference elicitation, ranking, social choice, multiple criteria decision making, decision under risk and unce}
}

Keywords: machine learning, preference learning, preference elicitation, ranking, social choice, multiple criteria decision making, decision under risk and unce
Freie Schlagwörter (englisch): information retrieval
Seminar: Dagstuhl Reports, Volume 4, Issue 3
Issue date: 2014
Date of publication: 2014


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