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DATE
2003
IEEE
135views Hardware» more  DATE 2003»
14 years 1 months ago
Creating Value Through Test
Test is often seen as a necessary evil; it is a fact of life that ICs have manufacturing defects and those need to be filtered out by testing before the ICs are shipped to the cu...
Erik Jan Marinissen, Bart Vermeulen, Robert Madge,...
UAI
1997
13 years 9 months ago
Robustness Analysis of Bayesian Networks with Local Convex Sets of Distributions
Robust Bayesian inference is the calculation of posterior probability bounds given perturbations in a probabilistic model. This paper focuses on perturbations that can be expresse...
Fabio Gagliardi Cozman
SAFECOMP
2005
Springer
14 years 1 months 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
CDC
2009
IEEE
179views Control Systems» more  CDC 2009»
14 years 12 days ago
Bayesian network approach to understand regulation of biological processes in cyanobacteria
— Bayesian networks have extensively been used in numerous fields including artificial intelligence, decision theory and control. Its ability to utilize noisy and missing data ...
Thanura R. Elvitigala, Abhay K. Singh, Himadri B. ...
COGSCI
2008
75views more  COGSCI 2008»
13 years 6 months ago
Exemplars, Prototypes, Similarities, and Rules in Category Representation: An Example of Hierarchical Bayesian Analysis
This article demonstrates the potential of using hierarchical Bayesian methods to relate models and data in the cognitive sciences. This is done using a worked example that consid...
Michael D. Lee, Wolf Vanpaemel