2543 search results - page 50 / 509 » Using PageRank in Feature Selection |
ISMDA
2005
Springer
14 years 2 months ago
2005
Springer
The large number of genes in microarray data makes feature selection techniques more crucial than ever. From various ranking-based filter procedures to classifier-based wrapper tec...
PR
2008
13 years 8 months ago
2008
Feature selection is an important preprocessing step in mining high-dimensional data. Generally, supervised feature selection methods with supervision information are superior to ...
ECIR
2011
Springer
13 years 11 days ago
2011
Springer
Feature selection plays a vital role in text categorisation. A range of different methods have been developed, each having unique properties and selecting different features. We ...
TIP
2011
13 years 3 months ago
2011
—This paper introduces the new color face recognition (FR) method that makes effective use of boosting learning as color-component feature selection framework. The proposed boost...
PKDD
2010
Springer
13 years 7 months ago
2010
Springer
In this paper we propose a Bayesian model for multi-task feature selection. This model is based on a generalized spike and slab sparse prior distribution that enforces the selectio...