129 search results - page 20 / 26 » Active learning with extremely sparse labeled examples |
CVPR
2010
IEEE
14 years 3 months ago
2010
IEEE
Multi-class classification schemes typically require human input in the form of precise category names or numbers for each example to be annotated – providing this can be impra...
ACL
2006
13 years 9 months ago
2006
We investigate prototype-driven learning for primarily unsupervised grammar induction. Prior knowledge is specified declaratively, by providing a few canonical examples of each ta...
MIR
2003
ACM
14 years 25 days ago
2003
ACM
Huge amount of manual efforts are required to annotate large image/video archives with text annotations. Several recent works attempted to automate this task by employing supervis...
AAAI
2000
13 years 9 months ago
2000
Selective sampling, a form of active learning, reduces the cost of labeling training data by asking only for the labels of the most informative unlabeled examples. We introduce a ...
ISMIS
1999
Springer
13 years 12 months ago
1999
Springer
Software quality prediction can be cast as a concept learning problem. In this paper, we discuss the full cycle of an application of Machine Learning to software quality predictio...