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BMCBI
2007
194views more  BMCBI 2007»
13 years 11 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
BMCBI
2006
179views more  BMCBI 2006»
13 years 10 months ago
Multiscale Hy3S: Hybrid stochastic simulation for supercomputers
Background: Stochastic simulation has become a useful tool to both study natural biological systems and design new synthetic ones. By capturing the intrinsic molecular fluctuation...
Howard Salis, Vassilios Sotiropoulos, Yiannis N. K...
ENTCS
2006
112views more  ENTCS 2006»
13 years 10 months ago
A Petri-Net Based Reflective Framework for the Evolution of Dynamic Systems
Nowadays, software evolution is a very hot topic. Many applications need to be updated or extended with new characteristics during their lifecycle. Software evolution is character...
Lorenzo Capra, Walter Cazzola
JCSC
2002
129views more  JCSC 2002»
13 years 10 months ago
Leakage Current Reduction in VLSI Systems
There is a growing need to analyze and optimize the stand-by component of power in digital circuits designed for portable and battery-powered applications. Since these circuits re...
David Blaauw, Steven M. Martin, Trevor N. Mudge, K...
VL
2010
IEEE
209views Visual Languages» more  VL 2010»
13 years 9 months ago
Automatically Inferring ClassSheet Models from Spreadsheets
Many errors in spreadsheet formulas can be avoided if spreadsheets are built automatically from higher-level models that can encode and enforce consistency constraints. However, d...
Jacome Cunha, Martin Erwig, Joao Saraiva