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BMCBI
2007
194views more  BMCBI 2007»
13 years 8 months ago
Kernel-imbedded Gaussian processes for disease classification using microarray gene expression data
Background: Designing appropriate machine learning methods for identifying genes that have a significant discriminating power for disease outcomes has become more and more importa...
Xin Zhao, Leo Wang-Kit Cheung
GECCO
2008
Springer
174views Optimization» more  GECCO 2008»
13 years 9 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...
MSR
2005
ACM
14 years 2 months ago
Collaboration using OSSmole: a repository of FLOSS data and analyses
This paper introduces a collaborative project OSSmole which collects, shares, and stores comparable data and analyses of free, libre and open source software (FLOSS) development f...
Megan Conklin, James Howison, Kevin Crowston
PADS
2003
ACM
14 years 1 months ago
Parallel Network Simulation under Distributed Genesis
We describe two major developments in the General Network Simulation Integration System (Genesis): the support for BGP protocol in large network simulations and distribution of th...
Boleslaw K. Szymanski, Yu Liu, Rashim Gupta
WSC
1998
13 years 10 months ago
The Use of Simulation in the Planning of the Dutch Railway Services
The design of a quality timetable for the Dutch Railways is a complex task, because of the characteristics of the railway services. The complexity of the network and the heavily i...
Jurjen S. Hooghiemstra, Maurice J. G. Tunisse