Preference Learning and Ranking by Pairwise Comparison

DOI10.1007/978-3-642-14125-6_4zbMath1214.68286DBLPbooks/daglib/p/FurnkranzH10aOpenAlexW1617122252WikidataQ59195230 ScholiaQ59195230MaRDI QIDQ3061113

Johannes Fürnkranz, Eyke Hüllermeier

Publication date: 14 December 2010

Published in: Preference Learning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-642-14125-6_4

zbMATH Keywords

decision makingpreference modeling

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) (68T20)

Related Items (8)

A review on instance ranking problems in statistical learning ⋮ Information efficient learning of complexly structured preferences: elicitation procedures and their application to decision making under uncertainty ⋮ Ranking procedures by pairwise comparison using random sets and the imprecise Dirichlet model ⋮ Simple ranking method using reference profiles: incremental elicitation of the preference parameters ⋮ \texttt{GLISp-r}: a preference-based optimization algorithm with convergence guarantees ⋮ Robust ordinal regression in preference learning and ranking ⋮ Cautious classification based on belief functions theory and imprecise relabelling ⋮ Scalable Bayesian preference learning for crowds

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