89 search results - page 3 / 18 » Random Feature Subset Selection for Ensemble Based Classific... |
BMCBI
2004
13 years 7 months ago
2004
Background: Microarray experiments are becoming a powerful tool for clinical diagnosis, as they have the potential to discover gene expression patterns that are characteristic for...
SSPR
2004
Springer
14 years 24 days ago
2004
Springer
Classification fusion combines multiple classifications of data into a single classification solution of greater accuracy. Feature extraction aims to reduce the computational cost ...
MCS
2010
Springer
13 years 9 months ago
2010
Springer
Abstract. Functional magnetic resonance imaging (fMRI) is a noninvasive and powerful method for analysis of the operational mechanisms of the brain. fMRI classification poses a sev...
ICDM
2005
IEEE
14 years 1 months ago
2005
IEEE
In many classification tasks training data have missing feature values that can be acquired at a cost. For building accurate predictive models, acquiring all missing values is of...
KDD
2008
ACM
14 years 7 months ago
2008
ACM
Many feature selection algorithms have been proposed in the past focusing on improving classification accuracy. In this work, we point out the importance of stable feature selecti...