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IFIP
1999
Springer
15 years 11 months ago
Design Error Diagnosis in Digital Circuits without Error Model
We describe a new method for design error diagnosis in digital circuits, that doesn’t use any error model. A diagnostic specific pre-analysis of the circuit extracts a subcircui...
Raimund Ubar, Dominique Borrione
FSS
2006
86views more  FSS 2006»
15 years 6 months ago
An omission approach for detecting outliers in fuzzy regression models
Since Tanaka et al. in 1982 proposed a study in linear regression with a fuzzy model, fuzzy regression analysis has been widely studied and applied in various areas. However, Tana...
Wen-Liang Hung, Miin-Shen Yang
SAC
2008
ACM
15 years 6 months ago
Bayesian inference for a discretely observed stochastic kinetic model
The ability to infer parameters of gene regulatory networks is emerging as a key problem in systems biology. The biochemical data are intrinsically stochastic and tend to be observ...
Richard J. Boys, Darren J. Wilkinson, Thomas B. L....
PPSN
2010
Springer
15 years 5 months ago
Globally Induced Model Trees: An Evolutionary Approach
In the paper we propose a new evolutionary algorithm for induction of univariate regression trees that associate leaves with simple linear regression models. In contrast to typical...
Marcin Czajkowski, Marek Kretowski
SCHOLARPEDIA
2008
92views more  SCHOLARPEDIA 2008»
15 years 6 months ago
Computational models of classical conditioning
: We describe computer simulation of a number of associative models of classical conditioning in an attempt to assess the strengths and weaknesses of each model. The behavior of th...
Nestor A. Schmajuk