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OTC results are compared against existing methods through simulations on two feeders in the Californian network.
The proposed method is tested on some real world classification datasets, and the results are statistically compared against existing methods in the literature.
Extensive experiments on the two of the largest benchmark datasets show that our deep age estimation model gains notable advantage on accuracy when compared against existing methods.
The proposed framework is compared against existing methods and their respective performance is evaluated on aerial images.
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Its performance is compared against existing empirical methods, such as K-MICA, K-mean, and DBSCAN.
PSIKO has been compared against existing leading methods on a variety of simulation scenarios, as well as on real biological data.
These results show a better performance against existing methods.
The fast rate of convergence of the method is shown and results are compared against existing results in literature.
The fast rate of convergence of the method is shown and the results are compared against existing results in literature.
The method has been evaluated on known ncRNA classes and compared against existing approaches, that is, the complete L ocARNA-pipeline and RNA soup (Kaczkowski et al., 2009).
It has been favorably compared against existing strategies, obtaining better results, quantified by 4,5%.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com