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SEs of regression coefficients are presented as measures of precision in order to reduce the probabilistic interpretations implied by the use of confidence intervals.
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We discuss how this interesting feature of the H-H model allows one to reduce greatly the probabilistic degrees of freedom in uncertainty quantification analyses, saving CPU time in numerical simulations and opening possibilities for probabilistic generalisation of other deterministic models of great importance in physiology and mathematical neuroscience.
For most of the cases, the probabilistic model can reduce the search space to a reasonable size in which state-of-the-art ILP solvers can find the optimal solutions.
We further reduce the delivery delay by introducing probabilistic forwarding scheme.
Linear discriminant analysis (LDA) was used to reduce the channel mismatch effects, and probabilistic LDA was employed for scoring the i-vectors.
This paper presents a probabilistic model to reduce the probability of line congestions and voltage violations in a smart grid located in a radial distribution network.
The principle of probabilistic methods is to reduce the probability of high PAPR by generating several OFDM symbols (multiple candidates) carrying the same information and by selecting the one having the lowest PAPR.
The purpose of this paper is to analyze human reliability using appropriate methods for the probabilistic representation and calculation of human error to be used alongside probabilistic risk analysis in order to reduce the operational risk of the reactor operation.
For denseness-branch programs, probabilistic slicing is utilized to reduce the invalid slices in order to improve accuracy.
This probabilistic model helps also to eliminate irrelevant configurations and reduce the matching complexity.
Thus a probabilistic version of the Argument from Evil might subsequently reduce the probability from 99.9% down to 75% again.
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