32 search results - page 3 / 7 » Filters, Wrappers and a Boosting-Based Hybrid for Feature Se... |
ICPR
2004
IEEE
14 years 6 months ago
2004
IEEE
The traditional processing flow of segmentation followed by classification in computer vision assumes that the segmentation is able to successfully extract the object of interest....
BMCBI
2005
13 years 5 months ago
2005
Background: The use of mass spectrometry as a proteomics tool is poised to revolutionize early disease diagnosis and biomarker identification. Unfortunately, before standard super...
ISNN
2007
Springer
13 years 11 months ago
2007
Springer
In this paper, we present two novel memetic algorithms (MAs) for gene selection. Both are synergies of Genetic Algorithm (wrapper methods) and local search methods (filter methods...
ICANN
2007
Springer
13 years 9 months ago
2007
Springer
Within the taxonomy of feature extraction methods, recently the Wrapper approaches lost some popularity due to the associated computational burden, compared to Embedded or Filter m...
CIBCB
2006
IEEE
13 years 7 months ago
2006
IEEE
In recent years, unsupervised gene (feature) selection has become an integral part of microarray analysis because of the large number of genes and complexity in biological systems....