On predictive accuracy and risk minimization in pairwise label ranking

DOI10.1016/j.jcss.2009.05.005zbMath1186.68369OpenAlexW1990016442WikidataQ59195235 ScholiaQ59195235MaRDI QIDQ1049275

Eyke Hüllermeier, Johannes Fürnkranz

Publication date: 8 January 2010

Published in: Journal of Computer and System Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jcss.2009.05.005

zbMATH Keywords

machine learningrisk minimizationranking errorrank correlationlabel rankingpreference learningpairwise classification

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items (3)

A review on instance ranking problems in statistical learning ⋮ Ranking procedures by pairwise comparison using random sets and the imprecise Dirichlet model ⋮ Elicitability of Instance and Object Ranking

Cites Work

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• Classification by pairwise coupling
• Label ranking by learning pairwise preferences
• 10.1162/15324430152733133
• 10.1162/153244302320884605
• 10.1162/153244303322533188
• Ranking Tournaments
• Advances in Intelligent Data Analysis VI
• Ordering by weighted number of wins gives a good ranking for weighted tournaments

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