905 search results - page 24 / 181 » Active Learning for Pipeline Models |
ICML
2009
IEEE
14 years 2 months ago
2009
IEEE
Physics-based simulation codes are widely used in science and engineering to model complex systems that would be infeasible to study otherwise. Such codes provide the highest-fid...
ECML
2007
Springer
14 years 2 months ago
2007
Springer
Abstract. Active Learning methods rely on static strategies for sampling unlabeled point(s). These strategies range from uncertainty sampling and density estimation to multi-factor...
TIP
2010
13 years 6 months ago
2010
—In increasingly many cases of interest in computer vision and pattern recognition, one is often confronted with the situation where data size is very large. Usually, the labels ...
NAACL
2004
13 years 9 months ago
2004
Supervised estimation methods are widely seen as being superior to semi and fully unsupervised methods. However, supervised methods crucially rely upon training sets that need to ...
ACL
2008
13 years 9 months ago
2008
Traditional Active Learning (AL) techniques assume that the annotation of each datum costs the same. This is not the case when annotating sequences; some sequences will take longe...