Sentence examples for use a probabilistic framework from inspiring English sources

The uncertainties related to many of the inputs required by the BESS-sizing procedure make it necessary to use a probabilistic framework for sizing.

The novelty of this method is that we use a probabilistic framework designed to evaluate the registration of faces, instead of maximizing the score of a face recognition method, which might not be suited for comparing unregistered face images.

To obtain high quality SNP and genotype data, most contemporary algorithms use a probabilistic framework to quantify the uncertainty and to model errors introduced in alignment and base calling [ 17- 20].

We use a probabilistic framework to describe molecular evolution, and model the evolution of sequences along each edge (also referred as branch) of the tree as a CTMP (Durbin et al., 1998; Felsenstein, 2003).

Recently, several authors introduced somatic methods, such as VarScan2 [ 21] and Mutect [ 22], that use a probabilistic framework to simultaneously compare the reads of a tumor sample and a matched normal sample to identify statistically significant differences at each variant site.

The proposed algorithm uses a probabilistic framework to jointly detect PM and missing data.

More recently, Bhattacharya et al. [24] conducted a similar study but using a probabilistic framework to estimate a value for k dynamically.

Using a probabilistic framework approach, is it possible to obtain a quantification of the confidence that any molecule will be active?

This work uses a probabilistic framework to understand and quantify the effect of small errors in the test mode shapes on test-analysis orthogonality.

This 'Algorithmic Links with Probabilities' (ALP) approach mines patent data using keywords extracted from industry descriptions and processes the resulting matches using a probabilistic framework.

More recently, an extreme value (EV) approach has been used to link the probability of a crash occurrence to the frequency of conflicts estimated from observed variability of crash proximity, using a probabilistic framework and without using crash records.