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» Comparing and Aggregating Rankings with Ties
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CEE
2010
67views more  CEE 2010»
13 years 7 months ago
Series feature aggregation for content-based image retrieval
Feature aggregation is a critical technique in content-based image retrieval systems that employ multiple visual features to characterize image content. One problem in feature aggr...
Jun Zhang, Lei Ye
AAIM
2008
Springer
110views Algorithms» more  AAIM 2008»
14 years 1 months ago
Fixed-Parameter Algorithms for Kemeny Scores
The Kemeny Score problem is central to many applications in the context of rank aggregation. Given a set of permutations (votes) over a set of candidates, one searches for a “con...
Nadja Betzler, Michael R. Fellows, Jiong Guo, Rolf...
PPSN
2004
Springer
14 years 27 days ago
Ensemble Learning with Evolutionary Computation: Application to Feature Ranking
Abstract. Exploiting the diversity of hypotheses produced by evolutionary learning, a new ensemble approach for Feature Selection is presented, aggregating the feature rankings ext...
Kees Jong, Elena Marchiori, Michèle Sebag
IR
2010
13 years 6 months ago
LETOR: A benchmark collection for research on learning to rank for information retrieval
LETOR is a benchmark collection for the research on learning to rank for information retrieval, released by Microsoft Research Asia. In this paper, we describe the details of the L...
Tao Qin, Tie-Yan Liu, Jun Xu, Hang Li
SODA
2003
ACM
158views Algorithms» more  SODA 2003»
13 years 9 months ago
Comparing top k lists
Motivated by several applications, we introduce various distance measures between “top k lists.” Some of these distance measures are metrics, while others are not. For each of...
Ronald Fagin, Ravi Kumar, D. Sivakumar