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Models built using the combined performed better than those developed from the Benchmark data set.
We have created a new mutagenicity benchmark data set with around 8,000 compounds.
We evaluated CR-OLAP on the Amazon EC2 cloud, using the TPC-DS benchmark data set.
The classification capability of this HGPNN has been validated with the VOC benchmark data set.
These data sets were introduced as a benchmark data set compilation for the evaluation of docking algorithms [33].
The presented images (I to IV and VI) come from the publicly available ECU benchmark data set [65].
After exploring several databases, we decided on a real benchmark data set, the "Optdigit" [3], for recognizing handwritten characters.
The obtained results are then validated on the Wiener–Hammerstein benchmark data set and the final models are presented.
To do so, the KDD benchmark data set from the International Knowledge Discovery and Data Mining Tools Competition is employed.
These results combined with previously reported data provide a benchmark data set for evaluation and refinement of turbulent combustion models for lifted hydrogen jet flame predictions.
The presented images come from the publicly available ECU benchmark data set [65]. Figure 9 Examples of skin segmentation for the HGR data set obtained using different methods.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com