286 search results - page 8 / 58 » Learning to Classify Texts Using Positive and Unlabeled Data |
KDD
2009
ACM
14 years 7 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 ...
ICDM
2003
IEEE
13 years 12 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...
NIPS
2003
13 years 8 months ago
2003
We consider the general problem of learning from labeled and unlabeled data, which is often called semi-supervised learning or transductive inference. A principled approach to sem...
KDD
2002
ACM
14 years 7 months ago
2002
ACM
An adaptive semi-supervised ensemble method, ASSEMBLE, is proposed that constructs classification ensembles based on both labeled and unlabeled data. ASSEMBLE alternates between a...
SIGIR
2005
ACM
14 years 8 days ago
2005
ACM
Accurate topical categorization of user queries allows for increased effectiveness, efficiency, and revenue potential in general-purpose web search systems. Such categorization be...