311 search results - page 32 / 63 » Learning to rank: from pairwise approach to listwise approac... |
AUSAI
2008
Springer
13 years 9 months ago
2008
Springer
Classifiers are traditionally learned using sets of positive and negative training examples. However, often a classifier is required, but for training only an incomplete set of pos...
SIGIR
2008
ACM
13 years 7 months ago
2008
ACM
This paper proposes a learning approach for the merging process in multilingual information retrieval (MLIR). To conduct the learning approach, we also present a large number of f...
COLT
2007
Springer
14 years 1 months ago
2007
Springer
We describe and analyze a new approach for feature ranking in the presence of categorical features with a large number of possible values. It is shown that popular ranking criteria...
CIKM
2011
Springer
12 years 7 months ago
2011
Springer
Evaluating rankers using implicit feedback, such as clicks on documents in a result list, is an increasingly popular alternative to traditional evaluation methods based on explici...
CVPR
2010
IEEE
14 years 16 days ago
2010
IEEE
We present an approach to visual object-class recognition and segmentation based on a pipeline that combines multiple, holistic figure-ground hypotheses generated in a bottom-up,...