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GECCO
2008
Springer
174views Optimization» more  GECCO 2008»
13 years 10 months ago
Mask functions for the symbolic modeling of epistasis using genetic programming
The study of common, complex multifactorial diseases in genetic epidemiology is complicated by nonlinearity in the genotype-to-phenotype mapping relationship that is due, in part,...
Ryan J. Urbanowicz, Nate Barney, Bill C. White, Ja...
BMCBI
2006
216views more  BMCBI 2006»
13 years 9 months ago
Machine learning approaches to supporting the identification of photoreceptor-enriched genes based on expression data
Background: Retinal photoreceptors are highly specialised cells, which detect light and are central to mammalian vision. Many retinal diseases occur as a result of inherited dysfu...
Haiying Wang, Huiru Zheng, David Simpson, Francisc...
MICRO
1998
IEEE
144views Hardware» more  MICRO 1998»
14 years 1 months ago
Analyzing the Working Set Characteristics of Branch Execution
To achieve highly accurate branch prediction, it is necessary not only to allocate more resources to branch prediction hardware but also to improve the understanding of branch exe...
Sangwook P. Kim, Gary S. Tyson
TCOM
2008
118views more  TCOM 2008»
13 years 7 months ago
Performance analysis for collaborative decoding with least-reliable-bits exchange on AWGN channels
Collaborative decoding is an approach that can achieve diversity and combining gain by exchanging decoding information among a cluster of physically separated receivers. On AWGN ch...
Xin Li, Tan F. Wong, John M. Shea
BMCBI
2004
153views more  BMCBI 2004»
13 years 8 months ago
Computational protein biomarker prediction: a case study for prostate cancer
Background: Recent technological advances in mass spectrometry pose challenges in computational mathematics and statistics to process the mass spectral data into predictive models...
Michael Wagner, Dayanand N. Naik, Alex Pothen, Sri...