Calculation methods of the prognostication of the computer systems state under different volume of a priori information and accuracy of the meas- urement of ...
Calculation methods of the prognostication of the computer systems state under different volume of a priori information and accuracy of the measurement of ...
Calculation methods of the prognostication of the computer systems state under different volume of a priori information and accuracy of the meas-urement of ...
Abstract—This paper proposes a probabilistic collocation method (PCM) to quantify the uncertainties in state estimation. Comparing to classic Monte-Carlo ...
Missing: Prognostication | Show results with:Prognostication
This is done by first selecting a set of input configurations based on an experimental design methodology where the uncertainty measures are determined. Then ...
Missing: Prognostication | Show results with:Prognostication
The effect of this new computing power is that what had been impossible—reasonable and effective description of model prediction uncertainty via probability.
The process of uncertainty assessment quantifies the uncertainty in the system performance by applying a probability distribution, such as normal, log-normal, ...
Missing: Prognostication | Show results with:Prognostication
Dec 20, 2021 · This paper proposes a software service risk uncertainty calculation method based on information entropy.
Missing: Prognostication Level
The upper-lower bound method is simpler in concept, but tends to overestimate the uncertainty, while the quadrature method is more sophisticated (and ...
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In this paper, we describe three methods to solve these problems, in- cluding Monte Carlo-, unscented transform-, and first-order reliability-based methods.
Missing: Prognostication | Show results with:Prognostication