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GLUE [ 13] employs machine learning techniques to find semantic mappings between ontologies.
The motivation for automatic feature design is to employ machine learning techniques in aid of a task that hitherto places heavy reliance on time-intensive experimentation by a researcher with in-domain expertise.
While the first stage utilizes the fact that most man-made objects are rectangular in shape, the second and third stages employ machine learning techniques combined with specific features.
Many methods employing machine learning techniques generate a wide-range of descriptors for each atomic site in the data set often including quantum chemical and electronic descriptors.
In addition to the the groups identified by Podlipnig and Böszörmenyi, other authors have proposed replacement algorithms that employ machine learning techniques [11-13] [11-13]
Several recent methods employ machine learning techniques such as a Support Vector Machine (SVM) [ 24, 27, 34, 35] for classification.
In this review, we highlighted the recent progress in developing target-biased scoring functions as well as those employed machine learning techniques.
A number of methods employ machine learning techniques to discover HGT events on a large scale (for a review and comparison, see [ 12]).
We employed machine learning techniques based on the rules developed from this study to examine the proteins that have crystallographic structure information available at NGS.
Here we employ machine learning techniques coupled to a straightforward yet robust experimental design in order to more clearly define genes that are under the direct transcriptional control of Ahr.
In this paper, we present two approaches that employ the machine learning techniques to enable traffic prediction in Elastic Optical Networks.
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