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BMCBI
2006
122views more  BMCBI 2006»
13 years 10 months ago
A comparison of univariate and multivariate gene selection techniques for classification of cancer datasets
Background: Gene selection is an important step when building predictors of disease state based on gene expression data. Gene selection generally improves performance and identifi...
Carmen Lai, Marcel J. T. Reinders, Laura J. van't ...
PPSN
2010
Springer
13 years 8 months ago
Mirrored Sampling and Sequential Selection for Evolution Strategies
This paper reveals the surprising result that a single-parent non-elitist evolution strategy (ES) can be locally faster than the (1+1)-ES. The result is brought about by mirrored s...
Dimo Brockhoff, Anne Auger, Nikolaus Hansen, Dirk ...
ICML
2007
IEEE
14 years 11 months ago
Kernelizing PLS, degrees of freedom, and efficient model selection
Kernelizing partial least squares (PLS), an algorithm which has been particularly popular in chemometrics, leads to kernel PLS which has several interesting properties, including ...
Mikio L. Braun, Nicole Krämer
DAC
2004
ACM
14 years 11 months ago
Selective gate-length biasing for cost-effective runtime leakage control
With process scaling, leakage power reduction has become one of the most important design concerns. Multi-threshold techniques have been used to reduce runtime leakage power witho...
Puneet Gupta, Andrew B. Kahng, Puneet Sharma, Denn...
CCE
2005
13 years 10 months ago
Selecting maximally informative genes
Microarray experiments are emerging as one of the main driving forces in modern biology. By allowing the simultaneous monitoring of the expression of the entire genome for a given...
Ioannis P. Androulakis