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ECCB
2003
IEEE
15 years 11 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 11 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
SMA
1993
ACM
107views Solid Modeling» more  SMA 1993»
15 years 10 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 8 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 7 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