216 search results - page 17 / 44 » Classifying Documents Without Labels |
125
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KDD
2009
ACM
16 years 2 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...
128
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KDD
2008
ACM
16 years 2 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....
133
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DASFAA
2004
IEEE
15 years 5 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...
132
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KDD
2009
ACM
16 years 2 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...
114
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CIKM
2008
Springer
15 years 3 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...