377 search results - page 4 / 76 » Towards Using Fewer Features for Text Classification |
ECIR
2003
Springer
13 years 6 months ago
2003
Springer
In order to reduce human efforts, there has been increasing interest in applying active learning for training text classifiers. This paper describes a straightforward active learni...
ADCS
2004
13 years 6 months ago
2004
Co-training is a semi-supervised technique that allows classifiers to learn with fewer labelled documents by taking advantage of the more abundant unclassified documents. However, ...
DEXAW
2010
IEEE
13 years 2 months ago
2010
IEEE
In the blogosphere, the amount of digital content is expanding and for search engines, new challenges have been imposed. Due to the changing information need, automatic methods are...
ICML
2005
IEEE
14 years 6 months ago
2005
IEEE
In this paper we generalize the LARS feature selection method to the linear SVM model, derive an efficient algorithm for it, and empirically demonstrate its usefulness as a featur...
KDD
2004
ACM
14 years 5 months ago
2004
ACM
Abstract. Current text classification systems typically use term stems for representing document content. Semantic Web technologies allow the usage of features on a higher semantic...