20 search results - page 2 / 4 » BoltzRank: learning to maximize expected ranking gain |
SDM
2007
SIAM
13 years 6 months ago
2007
SIAM
Decision lists (or ordered rule sets) have two attractive properties compared to unordered rule sets: they require a simpler classification procedure and they allow for a more co...
FCSC
2007
13 years 5 months ago
2007
1 The techniques for image analysis and classi cation generally consider the image sample labels xed and without uncertainties. The rank regression problem is studied in this pape...
WSDM
2010
ACM
14 years 2 months ago
2010
ACM
Queries describe the users' search intent and therefore they play an essential role in the context of ranking for information retrieval and Web search. However, most of exist...
ECIR
2009
Springer
14 years 2 months ago
2009
Springer
Abstract. This paper concerns document ranking in information retrieval. In information retrieval systems, the widely accepted probability ranking principle (PRP) suggests that, fo...
IJCV
2011
12 years 12 months ago
2011
Abstract We present an active learning framework that predicts the tradeoff between the effort and information gain associated with a candidate image annotation, thereby ranking un...