75 search results - page 3 / 15 » Building Text Classifiers Using Positive and Unlabeled Examp... |
BMCBI
2010
13 years 7 months ago
2010
Background: Recently, supervised learning methods have been exploited to reconstruct gene regulatory networks from gene expression data. The reconstruction of a network is modeled...
ICML
1998
IEEE
14 years 8 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...
KDD
2002
ACM
14 years 7 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...
AUSDM
2006
Springer
13 years 11 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 ...
ICCV
2003
IEEE
14 years 9 months ago
2003
IEEE
One significant challenge in the construction of visual detection systems is the acquisition of sufficient labeled data. This paper describes a new technique for training visual d...