Sciweavers

2018 search results - page 5 / 404
» Magnitude-preserving ranking algorithms
Sort
View
IJCNN
2006
IEEE
14 years 1 months ago
Predictive Random Graph Ranking on the Web
Abstract— The incomplete information about the Web structure causes inaccurate results of various ranking algorithms. In this paper, we propose a solution to this problem by form...
Haixuan Yang, Irwin King, Michael R. Lyu
SDM
2007
SIAM
169views Data Mining» more  SDM 2007»
13 years 8 months ago
Rank Aggregation for Similar Items
The problem of combining the ranked preferences of many experts is an old and surprisingly deep problem that has gained renewed importance in many machine learning, data mining, a...
D. Sculley
CVPR
2009
IEEE
13 years 11 months ago
Imbalanced RankBoost for efficiently ranking large-scale image/video collections
Ranking large scale image and video collections usually expects higher accuracy on top ranked data, while tolerates lower accuracy on bottom ranked ones. In view of this, we propo...
Michele Merler, Rong Yan, John R. Smith
WAOA
2010
Springer
275views Algorithms» more  WAOA 2010»
13 years 5 months ago
Online Ranking for Tournament Graphs
We study the problem of producing a global ranking of items given pairwise ranking information, when the items to be ranked arrive in an online fashion. We study both the maximizat...
Claire Mathieu, Adrian Vladu
ICMLA
2009
13 years 5 months ago
Discovering Characterization Rules from Rankings
For many ranking applications we would like to understand not only which items are top-ranked, but also why they are top-ranked. However, many of the best ranking algorithms (e.g....
Ansaf Salleb-Aouissi, Bert C. Huang, David L. Walt...