Exact(6)
The S27 circuit from the ISCAS89 sequential benchmark set is considered as case study for implementation in multilayer QCA using the proposed algorithm.
The benchmark set is derived from the evidence in the knowledge channel (see Methods section).
The benchmark set is available for download from the COMPARTMENTS web resource.
p.17: Sentence "This should be the results that MEMSAT-SVM has the lowest prediction accuracy on 7 TMHs proteins using the Structure benchmark set" is not clear; please rephrase.
This benchmark set is then used to train both an exhaustive rule classifier, which generates an easy to interpret filter, and an SVM classifier, which produces a numerical score.
Consequently, a split benchmark set is proposed: the first part contains datasets with motifs that can in principle be recognized and can therefore serve as a benchmark for algorithms based on such models; the second part contains the remaining datasets, useful to evaluate more powerful models.
Similar(2)
In addition, the best known solutions of the benchmark set are provided for the blocking flow shop scheduling problem with total flow time criterion.
A third benchmark set was created for testing the discriminating ability of the various methods.
Related(1)
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