1090 search results - page 24 / 218 » Consistency measures for feature selection |
AUSDM
2008
Springer
13 years 9 months ago
2008
Springer
Supervised text categorization is a machine learning task where a predefined category label is automatically assigned to a previously unlabelled document based upon characteristic...
KDD
2002
ACM
14 years 8 months ago
2002
ACM
Many techniques for association rule mining and feature selection require a suitable metric to capture the dependencies among variables in a data set. For example, metrics such as...
DOCENG
2006
ACM
14 years 1 months ago
2006
ACM
Category ranking provides a way to classify plain text documents into a pre-determined set of categories. This work proposes to have a look at typical document collections and ana...
SDM
2008
SIAM
13 years 9 months ago
2008
SIAM
In this paper we propose and test the use of hierarchical clustering for feature selection. The clustering method is Ward's with a distance measure based on GoodmanKruskal ta...
TIP
2010
2010
Automatic Parameter Selection for Denoising Algorithms Using a No-Reference Measure of Image Content
13 years 2 months ago
Across the field of inverse problems in image and video processing, nearly all algorithms have various parameters which need to be set in order to yield good results. In practice, ...