140 search results - page 7 / 28 » A Supervised Clustering Method for Text Classification |
EWCBR
2006
Springer
13 years 11 months ago
2006
Springer
Feature selection for unsupervised tasks is particularly challenging, especially when dealing with text data. The increase in online documents and email communication creates a nee...
AWIC
2007
Springer
14 years 2 months ago
2007
Springer
A major difficulty of supervised approaches for text classification is that they require a great number of training instances in order to construct an accurate classifier. This pap...
GECCO
2006
Springer
13 years 11 months ago
2006
Springer
Semi-supervised classification uses aspects of both unsupervised and supervised learning to improve upon the performance of traditional classification methods. Semi-supervised clu...
MICAI
2007
Springer
14 years 2 months ago
2007
Springer
A problem of supervised approaches for text classification is that they commonly require high-quality training data to construct an accurate classifier. Unfortunately, in many real...
BMCBI
2007
13 years 7 months ago
2007
Background: Classification studies using gene expression datasets are usually based on small numbers of samples and tens of thousands of genes. The selection of those genes that a...