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BMCBI
2008
160views more  BMCBI 2008»
15 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...
IJON
2006
99views more  IJON 2006»
15 years 6 months ago
Feature selection in independent component subspace for microarray data classification
A novel method for microarray data classification is proposed in this letter. In this scheme, the sequential floating forward selection (SFFS) technique is used to select the inde...
Chun-Hou Zheng, De-Shuang Huang, Li Shang
IS
2006
15 years 6 months ago
Spatio-temporal join selectivity
Given two sets S1, S2 of moving objects, a future timestamp tq, and a distance threshold d, a spatio-temporal join retrieves all pairs of objects that are within distance d at tq....
Jimeng Sun, Yufei Tao, Dimitris Papadias, George K...
JUCS
2008
130views more  JUCS 2008»
15 years 6 months ago
Feature Selection for the Classification of Large Document Collections
: Feature selection methods are often applied in the context of document classification. They are particularly important for processing large data sets that may contain millions of...
Janez Brank, Dunja Mladenic, Marko Grobelnik, Nata...
JSA
2006
97views more  JSA 2006»
15 years 6 months ago
Dynamic feature selection for hardware prediction
It is often possible to greatly improve the performance of a hardware system via the use of predictive (speculative) techniques. For example, the performance of out-of-order micro...
Alan Fern, Robert Givan, Babak Falsafi, T. N. Vija...