216 search results - page 17 / 44 » Classifying Documents Without Labels |
KDD
2009
ACM
14 years 10 months ago
2009
ACM
Many scalable data mining tasks rely on active learning to provide the most useful accurately labeled instances. However, what if there are multiple labeling sources (`oracles...
KDD
2008
ACM
14 years 10 months ago
2008
ACM
Information diffusion, viral marketing, and collective classification all attempt to model and exploit the relationships in a network to make inferences about the labels of nodes....
DASFAA
2004
IEEE
14 years 1 months ago
2004
IEEE
Text classification using a small labeled set and a large unlabeled data is seen as a promising technique to reduce the labor-intensive and time consuming effort of labeling traini...
KDD
2009
ACM
14 years 10 months ago
2009
ACM
Classifying nodes in networks is a task with a wide range of applications. It can be particularly useful in anomaly and fraud detection. Many resources are invested in the task of...
CIKM
2008
Springer
13 years 11 months ago
2008
Springer
In automated text categorization, given a small number of labeled documents, it is very challenging, if not impossible, to build a reliable classifier that is able to achieve high...