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BMCBI
2008
160views more  BMCBI 2008»
13 years 6 months ago
Feature selection environment for genomic applications
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....
Fabrício Martins Lopes, David Correa Martin...
BMCBI
2008
208views more  BMCBI 2008»
13 years 6 months ago
GraphFind: enhancing graph searching by low support data mining techniques
Background: Biomedical and chemical databases are large and rapidly growing in size. Graphs naturally model such kinds of data. To fully exploit the wealth of information in these...
Alfredo Ferro, Rosalba Giugno, Misael Mongiov&igra...
JMLR
2006
85views more  JMLR 2006»
13 years 6 months ago
Streamwise Feature Selection
In streamwise feature selection, new features are sequentially considered for addition to a predictive model. When the space of potential features is large, streamwise feature sel...
Jing Zhou, Dean P. Foster, Robert A. Stine, Lyle H...
SIGMETRICS
2008
ACM
161views Hardware» more  SIGMETRICS 2008»
13 years 5 months ago
Bound analysis of closed queueing networks with workload burstiness
Burstiness and temporal dependence in service processes are often found in multi-tier architectures and storage devices and must be captured accurately in capacity planning models...
Giuliano Casale, Ningfang Mi, Evgenia Smirni
BMCBI
2005
114views more  BMCBI 2005»
13 years 5 months ago
Extension of Lander-Waterman theory for sequencing filtered DNA libraries
Background: The degree to which conventional DNA sequencing techniques will be successful for highly repetitive genomes is unclear. Investigators are therefore considering various...
Michael C. Wendl, W. Bradley Barbazuk