354 search results - page 19 / 71 » Learning classifiers from only positive and unlabeled data |
KDD
2005
ACM
14 years 8 months ago
2005
ACM
Machine learning and data mining can be effectively used to model, classify and discover interesting information for a wide variety of data including email. The Email Mining Toolk...
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 ...
ECIR
2009
Springer
13 years 5 months ago
2009
Springer
Abstract. In the community of sentiment analysis, supervised learning techniques have been shown to perform very well. When transferred to another domain, however, a supervised sen...
ICDE
2008
IEEE
14 years 8 months ago
2008
IEEE
Abstract-- Many applications are driven by evolving data -patterns in web traffic, program execution traces, network event logs, etc., are often non-stationary. Building prediction...
Publication
One of the principal bottlenecks in applying learning techniques to classification problems is the large amount of labeled training data required. Especially for images and video, ...