812 search results - page 69 / 163 » Preference-based learning to rank |
105
Voted
DA
2010
14 years 9 months ago
2010
We consider the Bayesian ranking and selection problem, in which one wishes to allocate an information collection budget as efficiently as possible to choose the best among severa...
91
Voted
ICML
2005
IEEE
16 years 1 months ago
2005
IEEE
Low-rank matrix decompositions are essential tools in the application of kernel methods to large-scale learning problems. These decompositions have generally been treated as black...
111
Voted
IOR
2011
14 years 7 months ago
2011
We derive a knowledge gradient policy for an optimal learning problem on a graph, in which we use sequential measurements to refine Bayesian estimates of individual edge values i...
113
Voted
WWW
2010
ACM
15 years 7 months ago
2010
ACM
In this demo, we present a system called iRIN designed for performing image retrieval in image-rich information networks. We first introduce MoK-SimRank to significantly improve...
83
Voted
WWW
2003
ACM
16 years 1 months ago
2003
ACM
In this paper, we consider the possibility of altering the PageRank of web pages, from an administrator's point of view, through the modification of the PageRank equation. It...