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» Ranking with Uncertain Labels
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SSDBM
2008
IEEE
107views Database» more  SSDBM 2008»
14 years 3 months ago
ProUD: Probabilistic Ranking in Uncertain Databases
There are a lot of application domains, e.g. sensor databases, traffic management or recognition systems, where objects have to be compared based on vague and uncertain data. Feat...
Thomas Bernecker, Hans-Peter Kriegel, Matthias Ren...
SIGMOD
2011
ACM
234views Database» more  SIGMOD 2011»
12 years 11 months ago
Ranking with uncertain scoring functions: semantics and sensitivity measures
Ranking queries report the top-K results according to a user-defined scoring function. A widely used scoring function is the weighted summation of multiple scores. Often times, u...
Mohamed A. Soliman, Ihab F. Ilyas, Davide Martinen...
VLDB
2010
ACM
227views Database» more  VLDB 2010»
13 years 7 months ago
Supporting ranking queries on uncertain and incomplete data
Mohamed A. Soliman, Ihab F. Ilyas, Shalev Ben-Davi...
ISNN
2009
Springer
14 years 3 months ago
A New Instance-Based Label Ranking Approach Using the Mallows Model
In this paper, we introduce a new instance-based approach to the label ranking problem. This approach is based on a probability model on rankings which is known as the Mallows mode...
Weiwei Cheng, Eyke Hüllermeier
IDA
2005
Springer
14 years 2 months ago
Learning Label Preferences: Ranking Error Versus Position Error
We consider the problem of learning a ranking function, that is a mapping from instances to rankings over a finite number of labels. Our learning method, referred to as ranking by...
Eyke Hüllermeier, Johannes Fürnkranz