88 search results - page 9 / 18 » Evolutionary selection of minimum number of features for cla... |
BIBE
2007
IEEE
13 years 9 months ago
2007
IEEE
Abstract—Gene expression data usually contains a large number of genes, but a small number of samples. Feature selection for gene expression data aims at finding a set of genes ...
BMCBI
2010
13 years 7 months ago
2010
Background: Chow and Liu showed that the maximum likelihood tree for multivariate discrete distributions may be found using a maximum weight spanning tree algorithm, for example K...
ISMB
2000
13 years 8 months ago
2000
Several microarray technologies that monitor the level of expression of a large number of genes have recently emerged. Given DNA-microarray data for a set of cells characterized b...
BMCBI
2008
13 years 7 months ago
2008
Background: Feature selection is a pattern recognition approach to choose important variables according to some criteria in order to distinguish or explain certain phenomena (i.e....
ACSC
2005
IEEE
14 years 1 months ago
2005
IEEE
Novel, high-throughput technologies are challenging the core of algorithmic methods available in Computer Science. Microarray technologies give Life Sciences researchers the oppor...