79 search results - page 7 / 16 » Active learning of label ranking functions |
KDD
2010
ACM
13 years 8 months ago
2010
ACM
Active learning (AL) is an increasingly popular strategy for mitigating the amount of labeled data required to train classifiers, thereby reducing annotator effort. We describe ...
CIKM
2009
Springer
14 years 1 months ago
2009
Springer
Traditional boosting algorithms for the ranking problems usually employ the pairwise approach and convert the document rating preference into a binary-value label, like RankBoost....
CVPR
2008
IEEE
14 years 8 months ago
2008
IEEE
Systematic content screening of cell phenotypes in microscopic images has been shown promising in gene function understanding and drug design. However, manual annotation of cells ...
WWW
2009
ACM
14 years 7 months ago
2009
ACM
This paper proposes an efficient relevance feedback based interactive model for keyword generation in sponsored search advertising. We formulate the ranking of relevant terms as a...
ICML
2008
IEEE
14 years 7 months ago
2008
IEEE
Identifying the appropriate kernel function/matrix for a given dataset is essential to all kernel-based learning techniques. A variety of kernel learning algorithms have been prop...