228 search results - page 12 / 46 » Reinforcement Learning for Combining Relevance Feedback Tech... |
NIPS
1996
14 years 11 months ago
1996
Closed-loop control relies on sensory feedback that is usually assumed to be free. But if sensing incurs a cost, it may be coste ective to take sequences of actions in open-loop m...
COR
2008
14 years 9 months ago
2008
Operations research and management science are often confronted with sequential decision making problems with large state spaces. Standard methods that are used for solving such c...
80
Voted
ICASSP
2007
IEEE
15 years 4 months ago
2007
IEEE
This paper introduces a composite learning approach for image retrieval with relevance feedback. The proposed system combines the radial basis function (RBF) based lowlevel learni...
MMS
2008
14 years 9 months ago
2008
We address the challenge of semantic gap reduction for image retrieval through an improved SVM-based active relevance feedback framework, together with a hybrid visual and concept...
115
Voted
SIGIR
2011
ACM
14 years 13 days ago
2011
ACM
Pseudo-relevance feedback has proven effective for improving the average retrieval performance. Unfortunately, many experiments have shown that although pseudo-relevance feedback...