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The results are analyzed using a novel probabilistic model aiming at proving the suitability of the three-parameter Weibull distribution function to predict failure of structural glass elements under general loading cases.
We have reconstructed the co-evolutionary network among genes using a novel probabilistic methodology.
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We use a novel probabilistic framework for both user-independent as well as user-specific face registration.
To determine whether gene duplication followed by recombination (an intralineage process) may explain the phylogenetic conflict in the Silene SlX1/Y1 gene, we use a novel probabilistic, multiple primer-pair PCR approach.
To automatically trace the evolutionary trajectory of gene regulation, we used a novel probabilistic algorithm, Arboretum (Roy et al., 2013) ('Materials and methods'), to infer modules of co-expressed genes in each extant species and to reconstruct the ancestral modules from which they were derived.
Also this paper describes a method for the automated recognition of PRPD patterns using a novel complex probabilistic neural network system for the actual classification task.
Next, we present a novel probabilistic model of segmental duplication that we use to compute the likelihood score for an evolutionary relationship between a pair of duplication blocks.
In this work, we introduced a novel probabilistic framework for variation identification, which can use both letter- and color-space data simultaneously.
To take into account the uncertainty of long-term predictions for overload detection, a novel probabilistic model of the prediction error is built online using the non-parametric kernel density estimation [7] method.
A novel probabilistic model was developed to identify and quantify genomes using the read mapping approach.
We propose a novel probabilistic framework for the extraction of density-based 3D shape descriptors using kernel density estimation.
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