543 search results - page 21 / 109 » A PAC-Style Model for Learning from Labeled and Unlabeled Da... |
KDD
2009
ACM
14 years 8 months ago
2009
ACM
Labeling text data is quite time-consuming but essential for automatic text classification. Especially, manually creating multiple labels for each document may become impractical ...
ICML
2009
IEEE
14 years 8 months ago
2009
IEEE
In many real-world applications, such as image retrieval, it would be natural to measure the distances from one instance to others using instance specific distance which captures ...
KDD
2003
ACM
14 years 8 months ago
2003
ACM
Classification is a well-established operation in text mining. Given a set of labels A and a set DA of training documents tagged with these labels, a classifier learns to assign l...
ICMCS
2005
IEEE
14 years 1 months ago
2005
IEEE
Training a good text detector requires a large amount of labeled data, which can be very expensive to obtain. Cotraining has been shown to be a powerful semi-supervised learning t...
CVPR
2009
IEEE
15 years 3 months ago
2009
IEEE
Active learning strategies can be useful when manual labeling
effort is scarce, as they select the most informative
examples to be annotated first. However, for visual category
...