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» Using Goal-Models to Analyze Variability
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SODA
2004
ACM
104views Algorithms» more  SODA 2004»
13 years 8 months ago
Variable length path coupling
We present a new technique for constructing and analyzing couplings to bound the convergence rate of finite Markov chains. Our main theorem is a generalization of the path couplin...
Thomas P. Hayes, Eric Vigoda
ISCI
2011
13 years 2 months ago
Sequential covering rule induction algorithm for variable consistency rough set approaches
We present a general rule induction algorithm based on sequential covering, suitable for variable consistency rough set approaches. This algorithm, called VC-DomLEM, can be used f...
Jerzy Blaszczynski, Roman Slowinski, Marcin Szelag
ISQED
2002
IEEE
105views Hardware» more  ISQED 2002»
14 years 12 days ago
Impact Analysis of Process Variability on Clock Skew
This paper presents a methodology for the statistical analysis of clock tree structures. It allows to accurately predict and analyze the impact of process variation on clock skew....
Enrico Malavasi, Stefano Zanella, Min Cao, Julian ...
VIS
2007
IEEE
105views Visualization» more  VIS 2007»
14 years 8 months ago
Variable Interactions in Query-Driven Visualization
Our ability to generate ever-larger, increasingly-complex data, has established the need for scalable methods that identify, and provide insight into, important variable trends and...
Luke J. Gosink, John C. Anderson, E. Wes Bethel,...
BMCBI
2010
123views more  BMCBI 2010»
13 years 7 months ago
Computationally efficient flux variability analysis
Background: Flux variability analysis is often used to determine robustness of metabolic models in various simulation conditions. However, its use has been somehow limited by the ...
Steinn Gudmundsson, Ines Thiele