1484 search results - page 21 / 297 » Semi-supervised Learning from General Unlabeled Data |
WWW
2004
ACM
14 years 8 months ago
2004
ACM
In the problem of learning with positive and unlabeled examples, existing research all assumes that positive examples P and the hidden positive examples in the unlabeled set U are...
CVPR
2007
IEEE
14 years 9 months ago
2007
IEEE
Current methods for learning visual categories work well when a large amount of labeled data is available, but can run into severe difficulties when the number of labeled examples...
MCS
2009
Springer
14 years 2 months ago
2009
Springer
Abstract. Semi-supervised learning and ensemble learning are two important learning paradigms. The former attempts to achieve strong generalization by exploiting unlabeled data; th...
WAIM
2010
Springer
14 years 22 days ago
2010
Springer
Abstract. The problem of classification from positive and unlabeled examples attracts much attention currently. However, when the number of unlabeled negative examples is very sma...
COLT
2005
Springer
14 years 1 months ago
2005
Springer
Abstract. There has been growing interest in practice in using unlabeled data together with labeled data in machine learning, and a number of different approaches have been develo...