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» Pairwise Preference Learning and Ranking
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ML
2008
ACM
134views Machine Learning» more  ML 2008»
13 years 5 months ago
Multilabel classification via calibrated label ranking
Label ranking studies the problem of learning a mapping from instances to rankings over a predefined set of labels. Hitherto existing approaches to label ranking implicitly operat...
Johannes Fürnkranz, Eyke Hüllermeier, En...
ICDAR
2009
IEEE
13 years 3 months ago
Finding the Most Probable Ranking of Objects with Probabilistic Pairwise Preferences
This paper discusses the ranking of a set of objects when a possibly inconsistent set of pairwise preferences is given. We consider the task of ranking objects when pairwise prefe...
Mikhail Parakhin, Patrick M. Haluptzok
ICCBR
2003
Springer
13 years 11 months ago
Case-Based Ranking for Decision Support Systems
Abstract. Very often a planning problem can be formulated as a ranking problem: i.e. to find an order relation over a set of alternatives. The ranking of a finite set of alternat...
Paolo Avesani, Sara Ferrari, Angelo Susi
NIPS
2008
13 years 7 months ago
Structured ranking learning using cumulative distribution networks
Ranking is at the heart of many information retrieval applications. Unlike standard regression or classification in which we predict outputs independently, in ranking we are inter...
Jim C. Huang, Brendan J. Frey
COLT
2008
Springer
13 years 7 months ago
An Efficient Reduction of Ranking to Classification
This paper describes an efficient reduction of the learning problem of ranking to binary classification. The reduction guarantees an average pairwise misranking regret of at most t...
Nir Ailon, Mehryar Mohri