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BMCBI
2011
13 years 2 months ago
Using Stochastic Causal Trees to Augment Bayesian Networks for Modeling eQTL Datasets
Background: The combination of genotypic and genome-wide expression data arising from segregating populations offers an unprecedented opportunity to model and dissect complex phen...
Kyle C. Chipman, Ambuj K. Singh
MASCOTS
2004
13 years 9 months ago
Structured Stochastic Modeling of Fault-Tolerant Systems
Fault-tolerant mechanisms have been increasingly used to develop safety-critical systems in the past years. Therefore the accurate description of these mechanisms is crucial if we...
Cristiano Bertolini, Leonardo Brenner, Paulo Ferna...
BC
2006
105views more  BC 2006»
13 years 7 months ago
A stochastic population approach to the problem of stable recruitment hierarchies in spiking neural networks
Recruitment learning in hierarchies is an inherently unstable process (Valiant, 1994). This paper presents conditions on parameters for a feedforward network to ensure stable recru...
Cengiz Günay, Anthony S. Maida
AAAI
1998
13 years 9 months ago
Structured Representation of Complex Stochastic Systems
This paperconsidersthe problem of representingcomplex systems that evolve stochastically over time. Dynamic Bayesian networks provide a compact representation for stochastic proce...
Nir Friedman, Daphne Koller, Avi Pfeffer
IPPS
1999
IEEE
13 years 12 months ago
Dependability Evaluation of Fault Tolerant Distributed Industrial Control Systems
Modern distributed industrial control systems need improvements in their dependability. In this paper we study the dependability of a fault tolerant distributed industrial control ...
José Carlos Campelo, Pedro Yuste, Francisco...