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» Variability in Automation System Models
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CP
2004
Springer
16 years 6 days ago
Hybrid Set Domains to Strengthen Constraint Propagation and Reduce Symmetries
In CP literature combinatorial design problems such as sport scheduling, Steiner systems, error-correcting codes and more, are typically solved using Finite Domain (FD) models desp...
Andrew Sadler, Carmen Gervet
METMBS
2003
255views Mathematics» more  METMBS 2003»
15 years 8 months ago
Causal Explorer: A Causal Probabilistic Network Learning Toolkit for Biomedical Discovery
Causal Probabilistic Networks (CPNs), (a.k.a. Bayesian Networks, or Belief Networks) are well-established representations in biomedical applications such as decision support system...
Constantin F. Aliferis, Ioannis Tsamardinos, Alexa...
175
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WCRE
2007
IEEE
16 years 1 months ago
Quality Assessment Based on Attribute Series of Software Evolution
Defect density and defect prediction are essential for efficient resource allocation in software evolution. In an empirical study we applied data mining techniques for value seri...
Jacek Ratzinger, Harald Gall, Martin Pinzger
SAFECOMP
2005
Springer
16 years 9 days ago
Generalising Event Trees Using Bayesian Networks with a Case Study of Train Derailment
Event trees are a popular technique for modelling accidents in system safety analyses. Bayesian networks are a probabilistic modelling technique representing influences between unc...
George Bearfield, William Marsh
DATE
2002
IEEE
96views Hardware» more  DATE 2002»
15 years 11 months ago
A Linear-Centric Simulation Framework for Parametric Fluctuations
The relative tolerances for interconnect and device parameter variations have not scaled with feature sizes which have brought about significant performance variability. As we sca...
Emrah Acar, Sani R. Nassif, Lawrence T. Pileggi