315 search results - page 3 / 63 » Text classification from positive and unlabeled documents |
DASFAA
2004
IEEE
13 years 9 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...
ICML
1998
IEEE
14 years 6 months ago
1998
IEEE
This paper shows how a text classifier's need for labeled training documents can be reduced by taking advantage of a large pool of unlabeled documents. We modify the Query-by...
ICDM
2003
IEEE
13 years 11 months ago
2003
IEEE
Automatic classification of documents is an important area of research with many applications in the fields of document searching, forensics and others. Methods to perform class...
ECML
2007
Springer
13 years 12 months ago
2007
Springer
Many real-world classification applications fall into the class of positive and unlabeled (PU) learning problems. In many such applications, not only could the negative training ex...
AUSDM
2006
Springer
13 years 9 months ago
2006
Springer
Supervised text classification is the task of automatically assigning a category label to a previously unlabeled text document. We start with a collection of pre-labeled examples ...