1605 search results - page 24 / 321 » Metric Learning to Rank |
ATAL
2011
Springer
12 years 9 months ago
2011
Springer
A key component of any reinforcement learning algorithm is the underlying representation used by the agent. While reinforcement learning (RL) agents have typically relied on hand-...
KDD
2005
ACM
14 years 10 months ago
2005
ACM
Learning ranking (or preference) functions has been a major issue in the machine learning community and has produced many applications in information retrieval. SVMs (Support Vect...
SIGIR
2008
ACM
13 years 9 months ago
2008
ACM
One of the central issues in learning to rank for information retrieval is to develop algorithms that construct ranking models by directly optimizing evaluation measures used in i...
ICML
2006
IEEE
14 years 10 months ago
2006
IEEE
CVPR
2008
IEEE
14 years 12 months ago
2008
IEEE
We introduce a method that enables scalable image search for learned metrics. Given pairwise similarity and dissimilarity constraints between some images, we learn a Mahalanobis d...