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It is concluded that great potential exists to augment the existing probabilistic methods by the use of Bayesian networks and decision analysis techniques to allow reasoning under uncertainty and to update probabilities, material properties and analyses as further data become available throughout the various stages of a project.
The probability of exceedance expression is compared with an existing probabilistic load model.
In most of the existing probabilistic routing approaches, messages are promptly forwarded to nodes that have higher delivery predictability values.
The proposed model can serve as a deterministic alternative to existing probabilistic methods for checking balancedness in binary sequence generators.
These were then compared with the existing probabilistic future Design Summer Year (pDSY) and the probabilistic future Test Reference Year.
A thorough and fair comparison of performance has been done with existing probabilistic schemes, overlapped SLM (OSLM) [16], dispersive SLM (DSLM) [17], and MBJO-PTS [18].
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It can also be regarded as an extension of the existing fully probabilistic methods with an additional capability of accounting for directionality.
Based on the existing data, probabilistic models and correlations were established for the Young's modulus, ultimate strain and tensile strength.
For reasons of fair comparison, the existing modified joint probabilistic data association (MJPDA) algorithm that addresses the 3-D data association problem via "supertargets" using gate grouping and provides tracks directly in 3-D Cartesian coordinates, is enhanced by incorporating the probability of target existence as an effective track quality measure for track management.
Existing literature on probabilistic models for protein sequences is extensive and spans several decades.
However, existing third-party probabilistic or machine-learning methods that significantly improve the accuracy of base-calls on these platforms are impractical for production use due to their computational inefficiency.
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