3395 search results - page 79 / 679 » Learning to efficiently rank |
NN
2010
Springer
13 years 3 months ago
2010
Springer
Appropriately designing sampling policies is highly important for obtaining better control policies in reinforcement learning. In this paper, we first show that the least-squares ...
ETS
2007
IEEE
13 years 9 months ago
2007
IEEE
ICML
2008
IEEE
14 years 9 months ago
2008
IEEE
ICML
2006
IEEE
14 years 9 months ago
2006
IEEE
There has been much work on applying multiple-instance (MI) learning to contentbased image retrieval (CBIR) where the goal is to rank all images in a known repository using a smal...
IIR
2010
13 years 10 months ago
2010
Given a classifier trained on relatively few training examples, active learning (AL) consists in ranking a set of unlabeled examples in terms of how informative they would be, if ...