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The approach extends ideas from repeat-sales methodology in a way that accommodates much wider datasets.
Tests for a variety of conditions and VoIP-specific issues showed that it performed better than simple distance metrics and was comparable to the ITU standards, PESQ and POLQA, for wider datasets.
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Mapillary describes its wider dataset as one that is used to help build smart cities, future maps, and autonomous vehicles.
The challenge was a success and a second one followed in 2014-2015, using a wider dataset from Senegal [3].
Because the basin-wide datasets were very large data mining software was used for modelling.
It is important to consider the other common type of application: wide datasets.
Agricultural landscape types were characterized at a 1 km2 resolution based on Europe-wide datasets that represent land cover, landscape structure and land management intensity.
To realize this potential requires the analysis of diverse genome-wide datasets and the incorporation of these analyses into integrated networks.
The well-known Support Vector Machines Recursive Feature Elimination (SVM-RFE) algorithm provides good performance with moderate computational efforts, in particular for wide datasets.
Our genomic approach successfully combines various genome-wide datasets and allows the identification of the putative regulatory elements controlling miRNA expression in classically activated macrophages.
These findings demonstrate the usefulness and the potential of such body-wide datasets encompassing mouse models of diverse disease types as a resource in biological and medical sciences.
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