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Through the use of interval analysis, an adaptive discretisation procedure has been designed.
The practical use of interval analysis is hindered by the dependency problem, which leads to an overestimation of the uncertainty on the results.
An automated design system, based on simultaneous graph generation and traversal, is extended through the use of interval analysis techniques to provide insight into the range of structures that can form the basis for good process designs.
This approach leverages many of the recent advances in bounded-error parameter and state estimation methods [ 7, 8], including increased accuracy through the use of interval analysis instead of bounded ellipsoids, as the base of our experimental design framework.
Similar(56)
We describe a new approach for rigorously drawing samples from a target posterior distribution over small phylogenetic tree spaces using the theory of interval analysis.
This method substantially extends the application of interval analysis method.
This widening is due to multi-occurrence of variables in the function expression when using conventional interval analysis.
In this scheme, parameter intervals and decision-making target intervals are determined using the interval analysis method.
We calculated the range for the RADR, NNSR and the number of mammogram examinations by using interval analysis.
Suggestive and significant QTL at the chromosome-wide level were identified on BTA4 and 5 using interval analysis for degree of black, but these QTL were not confirmed by single-marker association or Bayesian methods.
Kappa coefficient with confidence intervals was calculated using CIA (Confidence Interval Analysis) version 2.1.2 (Bryant, University of Southampton, England) [ 28].
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