In SNEP analysis, extraction of probes sets does not affect on individual SFP detection performance, because SNEP analysis performs SFP detection on a set by set basis.
AY's contributions include extraction of data sets, functional analysis of words, and writing the manuscript.
The Generation Challenge Program conceptualized the development of "composite collections" and extraction of "reference sets" from these for more efficient tapping of global crop-related genetic resources.
In the first phase, the structure of the model is obtained by means of subtractive clustering, which allows the extraction of a set of relevant rules based on a set of representative input output data samples.
To conclude this section, we provide a step-by-step description of how the proposed architecture performs the extraction of a set of endmembers from a hyperspectral image.
Some genetic approaches for learning the fuzzy rule base require the previous extraction of a set of rules to be used as the genetic search space.
Ferro et al. [18] presented a method of detecting building and reconstructing radar footprints based on extraction of a set of low-level features from images and on their combination in more structured primitives.
Headspace solid-phase microextraction (HS-SPME), multiple (and classical) stir bar sorptive extraction (mSBSE), static headspace (SHS), and dynamic headspace (DHS) were compared for the extraction of a set of 21 representative flavor compounds of beer aroma.
In this study, we investigated the extraction of a set of software metrics of a given Java source code by a program written in Visual C++––that could be used as a fingerprint to identify the author of the Java code.
The first two approaches are based on the extraction of a set of handcrafted features trained by three different classifiers (support vector machines, k-nearest neighbor, and Gaussian mixture models) while the third approach is based on the design of convolutional neural networks (CNN).
For an optimum extraction of a set of variables, we need to look for all possible subsets of variables, which is impossible if p is large enough.
