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stat.ML2017★ 8 cited
Statistical Inference for Incomplete Ranking Data: The Case of Rank-Dependent Coarsening
Mohsen Ahmadi Fahandar, Eyke Hüllermeier, Inés Couso
We consider the problem of statistical inference for ranking data, specifically rank aggregation, under the assumption that samples are incomplete in the sense of not comprising al…
stat.ML2017
Learning to Rank based on Analogical Reasoning
Mohsen Ahmadi Fahandar, Eyke Hüllermeier
Object ranking or "learning to rank" is an important problem in the realm of preference learning. On the basis of training data in the form of a set of rankings of objects represen…