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» Dependence Modeling for Stochastic Simulation
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GECCO
2006
Springer
172views Optimization» more  GECCO 2006»
15 years 8 months ago
Evolving boolean networks to find intervention points in dengue pathogenesis
We use probabilistic boolean networks to simulate the pathogenesis of Dengue Hemorraghic Fever (DHF). Based on Chaturvedi's work, the strength of cytokine influences are mode...
Philip Tan, Joc Cing Tay
DATE
2010
IEEE
171views Hardware» more  DATE 2010»
15 years 9 months ago
Digital statistical analysis using VHDL
—Variations of process parameters have an important impact on reliability and yield in deep sub micron IC technologies. One methodology to estimate the influence of these effects...
Manfred Dietrich, Uwe Eichler, Joachim Haase
JMLR
2010
165views more  JMLR 2010»
14 years 11 months ago
Learning with Blocks: Composite Likelihood and Contrastive Divergence
Composite likelihood methods provide a wide spectrum of computationally efficient techniques for statistical tasks such as parameter estimation and model selection. In this paper,...
Arthur Asuncion, Qiang Liu, Alexander T. Ihler, Pa...
ISPASS
2009
IEEE
15 years 11 months ago
Accurately approximating superscalar processor performance from traces
Trace-driven simulation of superscalar processors is particularly complicated. The dynamic nature of superscalar processors combined with the static nature of traces can lead to l...
Kiyeon Lee, Shayne Evans, Sangyeun Cho
IWCMC
2009
ACM
15 years 11 months ago
Energy penalties for non-shortest paths in wireless sensor networks with link failures
This paper addresses the additional energy consumption in wireless sensor networks where the communication between the sensor nodes and the sink nodes does not always make use of ...
Geir Egeland, Paal E. Engelstad