140 search results - page 6 / 28 » A Supervised Clustering Method for Text Classification |
TKDE
2008
13 years 7 months ago
2008
Abstract-- Feature selection is an important method for improving the efficiency and accuracy of text categorization algorithms by removing redundant and irrelevant terms from the ...
ICDM
2003
IEEE
14 years 1 months ago
2003
IEEE
Semi-supervised learning methods construct classifiers using both labeled and unlabeled training data samples. While unlabeled data samples can help to improve the accuracy of trai...
BMCBI
2008
13 years 8 months ago
2008
Background: In the present investigation, we have used an exhaustive metabolite profiling approach to search for biomarkers in recombinant Aspergillus nidulans (mutants that produ...
ICML
2003
IEEE
14 years 1 months ago
2003
IEEE
Feature selection methods have been successfully applied to text categorization but seldom applied to text clustering due to the unavailability of class label information. In this...
ICTIR
2009
Springer
13 years 5 months ago
2009
Springer
Abstract. In text classification (TC) and other tasks involving supervised learning, labelled data may be scarce or expensive to obtain; strategies are thus needed for maximizing t...