750 search results - page 58 / 150 » Learning SVMs from Sloppily Labeled Data |
AI
2000
Springer
13 years 9 months ago
2000
Springer
The World Wide Web is a vast source of information accessible to computers, but understandable only to humans. The goal of the research described here is to automatically create a...
COLT
2008
Springer
13 years 11 months ago
2008
Springer
We study distribution-dependent, data-dependent, learning in the limit with adversarial disturbance. We consider an optimization-based approach to learning binary classifiers from...
SDM
2010
SIAM
13 years 10 months ago
2010
SIAM
Lack of labeled training examples is a common problem for many applications. In the same time, there is usually an abundance of labeled data from related tasks. But they have diff...
SDM
2008
SIAM
13 years 10 months ago
2008
SIAM
Semi-supervised learning plays an important role in the recent literature on machine learning and data mining and the developed semisupervised learning techniques have led to many...
CVPR
2010
IEEE
14 years 2 months ago
2010
IEEE
Long-term persistent tracking in ever-changing environments is a challenging task, which often requires addressing difficult object appearance update problems. To solve them, most...