102 search results - page 14 / 21 » Multi-Label Learning with Weak Label |
PR
2006
13 years 7 months ago
2006
For the management of digital document collections, automatic database analysis still has ties to deal with semantic queries and abstract concepts that users are looking for. When...
NAACL
2010
13 years 5 months ago
2010
The goal of this work is to integrate query similarity metrics as features into a dense model that can be trained on large amounts of query log data, in order to rank query rewrit...
JAIR
2006
13 years 7 months ago
2006
Active learners alleviate the burden of labeling large amounts of data by detecting and asking the user to label only the most informative examples in the domain. We focus here on...
CVPR
2009
IEEE
13 years 11 months ago
2009
IEEE
We investigate the problem of automatically labelling faces of characters in TV or movie material with their names, using only weak supervision from automaticallyaligned subtitle ...
ICASSP
2009
IEEE
14 years 2 months ago
2009
IEEE
Discriminative reranking has been able to significantly improve parsing performance, and co-training has proven to be an effective weakly supervised learning algorithm to bootstr...