20 search results - page 3 / 4 » BoltzRank: learning to maximize expected ranking gain |
CVPR
2007
IEEE
14 years 7 months ago
2007
IEEE
The success of tensor-based subspace learning depends heavily on reducing correlations along the column vectors of the mode-k flattened matrix. In this work, we study the problem ...
IOR
2010
13 years 3 months ago
2010
We study a problem of dynamic pricing faced by a vendor with limited inventory, uncertain about demand, aiming to maximize expected discounted revenue over an infinite time horiz...
SIGIR
2005
ACM
13 years 11 months ago
2005
ACM
State-of-the-art question answering (QA) systems employ termdensity ranking to retrieve answer passages. Such methods often retrieve incorrect passages as relationships among ques...
CVPR
2009
IEEE
15 years 14 days ago
2009
IEEE
Active learning strategies can be useful when manual labeling
effort is scarce, as they select the most informative
examples to be annotated first. However, for visual category
...
KDD
2010
ACM
13 years 3 months ago
2010
ACM
The dynamic marketplace in online advertising calls for ranking systems that are optimized to consistently promote and capitalize better performing ads. The streaming nature of on...