228 search results - page 2 / 46 » Reinforcement Learning for Combining Relevance Feedback Tech... |
TREC
2008
13 years 6 months ago
2008
In this paper, we report our experiments in the TREC 2008 Relevance Feedback Track. Our main goal is to study a novel problem in feedback, i.e., optimization of the balance of the...
ICASSP
2007
IEEE
13 years 11 months ago
2007
IEEE
Many content-based image retrieval applications suffer from small sample set and high dimensionality problems. Relevance feedback is often used to alleviate those problems. In thi...
ICIAR
2007
Springer
13 years 11 months ago
2007
Springer
This paper introduces a composite relevance feedback approach for image retrieval using transaction-based and SVM-based learning. A transaction repository is dynamically constructe...
ATAL
2010
Springer
13 years 6 months ago
2010
Springer
As learning agents move from research labs to the real world, it is increasingly important that human users, including those without programming skills, be able to teach agents de...
TKDE
2008
13 years 4 months ago
2008
Relevance feedback (RF) is an iterative process, which refines the retrievals by utilizing the user's feedback on previously retrieved results. Traditional RF techniques solel...