286 search results - page 36 / 58 » Learning to Classify Texts Using Positive and Unlabeled Data |
IJCAI
1993
13 years 8 months ago
1993
Many learning algorithms form concept descriptions composed of clauses, each of which covers some proportion of the positive training data and a small to zero proportion of the ne...
JMLR
2006
13 years 7 months ago
2006
Spam filtering poses a special problem in text categorization, of which the defining characteristic is that filters face an active adversary, which constantly attempts to evade fi...
SDM
2010
SIAM
13 years 9 months ago
2010
SIAM
We describe a novel semi-supervised method called WordCodebook Learning (WCL), and apply it to the task of bionamed entity recognition (bioNER). Typical bioNER systems can be seen...
CVPR
2010
IEEE
13 years 12 months ago
2010
IEEE
The design of robust classifiers, which can contend with the noisy and outlier ridden datasets typical of computer vision, is studied. It is argued that such robustness requires l...
ALT
2010
Springer
13 years 9 months ago
2010
Springer
: The ability to distinguish, differentiate and contrast between different data sets is a key objective in data mining. Such ability can assist domain experts to understand their d...