502 search results - page 4 / 101 » Learning from General Label Constraints |
NAACL
2007
13 years 7 months ago
2007
PropBank has been widely used as training data for Semantic Role Labeling. However, because this training data is taken from the WSJ, the resulting machine learning models tend to...
CVPR
2009
IEEE
15 years 1 months ago
2009
IEEE
In many image and video collections, we have access
only to partially labeled data. For example, personal photo
collections often contain several faces per image and a caption
t...
DAGM
2004
Springer
13 years 11 months ago
2004
Springer
We consider the general problem of learning from labeled and unlabeled data. Given a set of points, some of them are labeled, and the remaining points are unlabeled. The goal is to...
JMLR
2006
13 years 6 months ago
2006
We propose a family of learning algorithms based on a new form of regularization that allows us to exploit the geometry of the marginal distribution. We focus on a semi-supervised...
WWW
2009
ACM
14 years 7 months ago
2009
ACM
We consider the problem of identifying the consensus ranking for the results of a query, given preferences among those results from a set of individual users. Once consensus ranki...