51 search results - page 1 / 11 » Active query selection for learning rankers |
SIGIR
2012
ACM
11 years 11 months ago
2012
ACM
Methods that reduce the amount of labeled data needed for training have focused more on selecting which documents to label than on which queries should be labeled. One exception t...
CVPR
2007
IEEE
14 years 16 days ago
2007
IEEE
Interactively learning from a small sample of unlabeled examples is an enormously challenging task, one that often arises in vision applications. Relevance feedback and more recen...
CVPR
2009
IEEE
15 years 3 months ago
2009
IEEE
We describe an algorithm for similar-image search which
is designed to be efficient for extremely large collections of
images. For each query, a small response set is selected by...
ECIR
2007
Springer
13 years 10 months ago
2007
Springer
Automated text categorisation systems learn a generalised hypothesis from large numbers of labelled examples. However, in many domains labelled data is scarce and expensive to obta...
ICDM
2008
IEEE
14 years 3 months ago
2008
IEEE
Selecting promising queries is the key to effective active learning. In this paper, we investigate selection techniques for the task of learning an equivalence relation where the ...