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The first two methods are deterministic, do not use a statistical model in the development of the consensus partition, and are representative of methods used in commercial settings, whereas the third method is based on finite mixture modeling.
Four different extraction procedure representative of methods commonly employed in the isolation of somatostatin like immunoreactivity (SLI) were tested for their ability to extract large MW forms of SLI from porcine, canine and human pancreas.
Among the univariate techniques, we chose: chi Squared [ 24] as representative of statistic methods; information gain (IG) [ 25], symmetrical uncertainty (SU) [ 26], and gain ratio (GR) [ 27] as representatives of entropic methods; and finally OneR (OR) [ 28] as representative of methods that incorporate a classification technique (in this case, a simple rule-based classifier).
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As representative of these methods, we have used the gradient method in our simulations.
The OLS algorithm is a good representative of those methods.
The discontinuous Galerkin (DG) formulation is assessed in particular as a representative of these methods.
A representative of these methods is the eigenvoice method[1], where the low-dimensional manifold is a linear subspace and a set of linear bases (called eigenvoices), which capture most of the variance of the SD model parameters, can be obtained by principal component analysis.
We chose GSEAlm because it is a high-quality representative of permutation methods, and because it has more flexible options that most permutation software, being able to handle one-way ANOVA or block designs.
It is taken as representative of this method and is briefly reviewed in the following paragraphs: Select n joints among the ζ actuated joints as the generalized coordinates.
A typical representative of this method is the Constructive Solid Geometry (CSG), adopted by MesoRD for geometry construction.
In this paper, a novel error estimation procedure is presented that is based on the enhanced assumed strain (EAS) method and applied to the reproducing kernel particle method (RKPM) as a representative of Galerkin meshfree methods.
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