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Hence, we developed a more efficient inference method for cause discovery using the Kappa index.
A principled approach to specifying more efficient inference mechanisms is to use weaker logics with non-standard model theories.
There's the tantalizing opportunity of creating faster, lower-power chips that can go into internet-of-things thingies and truly fulfill the promise of those devices with more efficient inference.
In this study, the source separation model presented in Section "Model" is implemented by a variational Bayesian approach [10, 17, 18], that allows for more efficient inference when dealing with large data when compared with MCMC techniques.
More efficient inference algorithm can be developed to allow for more complex interactions between components.
As the volume of data continues to grow and gene models are becoming more complex as more alternative transcripts are discovered, more efficient inference algorithms are required so that Bayesian methods can be used to provide practical computational tools.
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On the other hand, the choice of a parsimonious covariance structure in a small sample design can lead to more efficient inferences concerning the fixed-effects parameters.
The basic idea is that the smaller the digraph becomes, the smaller the amount of data to be handled becomes and, accordingly, the more efficient the inference process that uses these data.
As Madhavapeddy stressed, it's far more efficient to bring inference to the edge, both in terms of latency and bandwidth.
Coupled with these advances has been a move toward fragility analysis techniques to uncouple the hazard (e.g., seismic, wind) from the structural system response, thereby enabling more efficient probabilistic analysis and inference.
The case-control design typically oversamples cases for more cost-effective and statistically efficient inference.
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more reasonable inference
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com