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Abstract: Computational methods for discovering the preferences of individuals are useful in many applications. In this paper, we propose a method for learning valued preference structures, using a natural extension of so-called pairwise classification. A valued preference structure can then be used in order to induce a ranking, that is a linear ordering of a given set of alternatives. This step is realized by means of a so-called ranking procedure. In the second part of the paper, we... (Update)
Active bibliography (related documents): More All
0.4: Ranking by Pairwise Comparison: A Note on Risk Minimization - Hüllermeier, Fürnkranz (Correct)
0.3: Preference Learning with Gaussian Processes - Chu, Ghahramani (2005) (Correct)
0.2: Active Learning of Label Ranking Functions - Klaus Brinker Kbrinker (Correct)
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0.8: Preference Learning: Models, Methods . . . - Hüllermeier, al. (2003) (Correct)
0.4: Pairwise Preference Learning and Ranking - Fürnkranz, Hüllermeier (Correct)
0.2: Possibilistic Instance-Based Learning - Hüllermeier (Correct)
BibTeX entry: (Update)
@misc{ llermeier-comparison,
author = "Eyke Hüllermeier and Johannes Fürnkranz",
title = "Comparison of Ranking Procedures in Pairwise Preference Learning",
url = "citeseer.ist.psu.edu/671270.html" }
Citations (may not include all citations):773 Reducibility among combinatorial problems (context) - Karp - 1972
64 Fuzzy Preference Modelling and Multicriteria Decision Suppor.. (context) - Fodor, Roubens - 1994
8 Probability estimates for multi-class classification by pair.. - Wu, Lin et al. - 2003
6 Round robin classification (context) - Furnkranz - 2002
6 Inconsistencies in a schedule of paired comparisons (context) - Slater - 1961
4 Pairwise preference learning and ranking (context) - Furnkranz, Hullermeier - 2003
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A Note on Quality Measures for Fuzzy Association Rules - Dubois, Hüllermeier, Prade (Correct)
Possibilistic Instance-Based Learning - Hüllermeier (Correct)
Ranking by Pairwise Comparison: A Note on Risk Minimization - Hüllermeier, Fürnkranz (Correct)
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