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BMCBI
2007
215views more  BMCBI 2007»
15 years 4 months ago
Learning causal networks from systems biology time course data: an effective model selection procedure for the vector autoregres
Background: Causal networks based on the vector autoregressive (VAR) process are a promising statistical tool for modeling regulatory interactions in a cell. However, learning the...
Rainer Opgen-Rhein, Korbinian Strimmer
SODA
1997
ACM
144views Algorithms» more  SODA 1997»
15 years 5 months ago
Methods for Achieving Fast Query Times in Point Location Data Structures
Given a collection S of n line segments in the plane, the planar point location problem is to construct a data structure that can e ciently determine for a given query point p the...
Michael T. Goodrich, Mark W. Orletsky, Kumar Ramai...
IWSSD
2000
IEEE
15 years 8 months ago
Specification, Safety and Reliability Analysis Using Stochastic Petri Net Models
In this study we focus on the specification and assessment of Stochastic Petri net (SPN) models to evaluate the design of an embedded system for reliability and availability. The ...
Frederick T. Sheldon, Stefan Greiner, Matthias Ben...
IEEEMM
2002
134views more  IEEEMM 2002»
15 years 3 months ago
A Middleware Architecture for Open and Interoperable GISs
an abstract model for information sharing and integration and use it to develop an architecture for building open, component-based, interoperable systems. A geographic information ...
Steven H. Wong, Steven L. Swartz, Dilip Sarkar
MOC
2010
14 years 11 months ago
H(div) preconditioning for a mixed finite element formulation of the diffusion problem with random data
We study H(div) preconditioning for the saddle-point systems that arise in a stochastic Galerkin mixed formulation of the steady-state diffusion problem with random data. The key i...
Howard C. Elman, Darran G. Furnival, Catherine E. ...