2245 search results - page 30 / 449 » Metrics that Learn Relevance |
MLDM
2007
Springer
14 years 1 months ago
2007
Springer
Support vector machine (SVM) has received much attention in feature selection recently because of its ability to incorporate kernels to discover nonlinear dependencies between feat...
TKDE
2008
13 years 7 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...
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
Beamformers are spatial filters that pass source signals in particular focused locations while suppressing interference from elsewhere. The widely-used minimum variance adaptive b...
ICPR
2004
IEEE
14 years 8 months ago
2004
IEEE
"Learning with side-information" is attracting more and more attention in machine learning problems. In this paper, we propose a general iterative framework for relevant...
CIKM
2000
Springer
14 years 1 days ago
2000
Springer
We consider the problem of browsing the top ranked portion of the documents returned by an information retrieval system. We describe an interactive relevance feedback agent that a...