80 search results - page 10 / 16 » A Dynamic Classifier Selection Method to Build Ensembles usi... |
ECML
2005
Springer
14 years 1 months ago
2005
Springer
Abstract. Ensemble learning is a powerful learning approach that combines multiple classifiers to improve prediction accuracy. An important decision while using an ensemble of cla...
SMC
2007
IEEE
14 years 1 months ago
2007
IEEE
—This paper considers the problem of temporally fusing classifier outputs to improve the overall diagnostic classification accuracy in safety-critical systems. Here, we discuss d...
MCS
2004
Springer
14 years 26 days ago
2004
Springer
The ECOC framework provides a powerful and popular method for solving multiclass problems using a multitude of binary classifiers. We had recently introduced the Binary Hierarchica...
BMCBI
2010
13 years 7 months ago
2010
Background: The selection of genes that discriminate disease classes from microarray data is widely used for the identification of diagnostic biomarkers. Although various gene sel...
CASCON
2004
13 years 9 months ago
2004
Due in part to the large volume of data available today, but more importantly to privacy concerns, data are often distributed across institutional, geographical and organizational...