313 search results - page 23 / 63 » Hierarchical sampling for active learning |
EMNLP
2010
13 years 8 months ago
2010
Production of parallel training corpora for the development of statistical machine translation (SMT) systems for resource-poor languages usually requires extensive manual effort. ...
PCM
2004
Springer
14 years 4 months ago
2004
Springer
The success of the relevance feedback search paradigm in image retrieval is influenced by the selection strategy employed by the system to choose the images presented to the user ...
CIVR
2006
Springer
14 years 2 months ago
2006
Springer
Abstract. Interactively learning from a small sample of unlabeled examples is an enormously challenging task. Relevance feedback and more recently active learning are two standard ...
ECML
2005
Springer
14 years 4 months ago
2005
Springer
Active selection of good training examples is an important approach to reducing data-collection costs in machine learning; however, most existing methods focus on maximizing classi...
WWW
2009
ACM
14 years 11 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...