205 search results - page 1 / 41 » Improving hierarchical text classification using unlabeled d... |
SIGIR
2002
ACM
13 years 10 months ago
2002
ACM
DASFAA
2004
IEEE
14 years 2 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...
AMT
2006
Springer
14 years 2 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...
KDD
2002
ACM
14 years 11 months ago
2002
ACM
In this paper, we present a new co-training strategy that makes use of unlabelled data. It trains two predictors in parallel, with each predictor labelling the unlabelled data for...
ML
2000
ACM
13 years 10 months ago
2000
ACM
This paper shows that the accuracy of learned text classifiers can be improved by augmenting a small number of labeled training documents with a large pool of unlabeled documents. ...