812 search results - page 9 / 163 » Preference-based learning to rank |
ICMLA
2009
13 years 5 months ago
2009
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....
SIGIR
2012
ACM
11 years 9 months ago
2012
ACM
As ever-larger training sets for learning to rank are created, scalability of learning has become increasingly important to achieving continuing improvements in ranking accuracy [...
CVPR
2009
IEEE
13 years 11 months ago
2009
IEEE
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...
PAMI
2008
13 years 7 months ago
2008
We consider the problem of learning a ranking function that maximizes a generalization of the Wilcoxon-Mann-Whitney statistic on the training data. Relying on an -accurate approxim...
CORR
2008
Springer
13 years 7 months ago
2008
Springer
Abstract. We propose a number of techniques for learning a global ranking from data that may be incomplete and imbalanced -- characteristics that are almost universal to modern dat...