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Throughout the literature, complementary models superior to classical modelling.
It is obviously seen from the table of recognition result that gradient boosting is superior to classical AdaBoost a little.
Several manufacturers as well as some literature have claimed that HPTLC is superior to classical TLC (Halkina and Sherma 2006; Camag 2017; Macherey Nagel 2017; Merck 2017).
Therefore we survey a number of approximants based on the splitting approach and demonstrate that their cost is compatible (and often superior) to classical methods.
Quantum computing skeptics (Levin 2003) happily capitalize on this puzzle: If no one knows why quantum computers are superior to classical ones, how can we be sure that they are, indeed, superior?
The multilevel ant-colony algorithm performed very well and is superior to classical k-METIS and Chaco algorithms; it is even comparable with the combined evolutionary/multilevel scheme used in the JOSTLE evolutionary algorithm and returned solutions that are better than the currently available solutions in the Graph Partitioning Archive.
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This explains why the OFEE format is superior to the classical SPDMFE method.
Both methods are by far superior to the classical and the extrapolation methods.
In this respect the resin embedding method is superior to the classical method.
We have shown how the synchronization performance of this algorithm is superior to the classical approach with no pre-filter.
Thus, for quantifying molar equivalents of NHS esters of mPEGs in preparation containing pre-existed NHS, the new method is superior to the classical spectrophotometric method.
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