220 search results - page 7 / 44 » Learning to Classify Text from Labeled and Unlabeled Documen... |
BMCBI
2010
13 years 10 months ago
2010
Background: Extracting protein-protein interactions from biomedical literature is an important task in biomedical text mining. Supervised machine learning methods have been used w...
AMT
2006
Springer
14 years 1 months ago
2006
Springer
Text classification using positive and unlabeled data refers to the problem of building text classifier using positive documents (P) of one class and unlabeled documents (U) of man...
AUSDM
2008
Springer
13 years 11 months ago
2008
Springer
Supervised text categorization is a machine learning task where a predefined category label is automatically assigned to a previously unlabelled document based upon characteristic...
SIGIR
2010
ACM
14 years 1 months ago
2010
ACM
We investigate the problem of learning document classifiers in a multilingual setting, from collections where labels are only partially available. We address this problem in the ...
CVPR
2010
IEEE
13 years 7 months ago
2010
IEEE
This paper shows that the performance of a binary classifier can be significantly improved by the processing of structured unlabeled data, i.e. data are structured if knowing the ...