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ECCB
2003
IEEE
15 years 9 months ago
Gene networks inference using dynamic Bayesian networks
This article deals with the identification of gene regulatory networks from experimental data using a statistical machine learning approach. A stochastic model of gene interactio...
Bruno-Edouard Perrin, Liva Ralaivola, Aurél...
RTCSA
2003
IEEE
15 years 9 months ago
Deterministic and Statistical Deadline Guarantees for a Mixed Set of Periodic and Aperiodic Tasks
Current hard real-time technologies are unable to support a new class of applications that have real-time constraints but with dynamic request arrivals and unpredictable resource r...
Minsoo Ryu, Seongsoo Hong
120
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SMA
1993
ACM
107views Solid Modeling» more  SMA 1993»
15 years 8 months ago
Relaxed parametric design with probabilistic constraints
: Parametric design is an important modeling paradigm in computer aided design. Relationships (constraints) between the degrees of freedom (DOFs) of the model, instead of the DOFs ...
Yacov Hel-Or, Ari Rappoport, Michael Werman
EPEW
2008
Springer
15 years 5 months ago
Partial Evaluation of PEPA Models for Fluid-Flow Analysis
Abstract. We present an application of partial evaluation to performance models expressed in the PEPA stochastic process algebra [1]. We partially evaluate the state-space of a PEP...
Allan Clark, Adam Duguid, Stephen Gilmore, Mirco T...
DAGSTUHL
2007
15 years 5 months ago
The Sinkhorn-Knopp Algorithm: Convergence and Applications
As long as a square nonnegative matrix A contains sufficient nonzero elements, then the Sinkhorn-Knopp algorithm can be used to balance the matrix, that is, to find a diagonal sc...
Philip A. Knight