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Numerical examples are given to show that the methods have less conservatism.
The greedy algorithm-based methods have less computing complex, however the reconstruction accuracy is limited compared with the convex programming.
In this report, the SVM method has most percentage for malware detection approach with 29%, j48 has 17%, NB has 10%, RF has 5%, ANN has 3% and the other methods have less than 2% usage in data mining results.
In these methods, bases of DNA are modified by chemical mutagens, such as nitrous acid, bisulfate, hydroxylamine and ethyl methane sulfonate, and these methods have less bias than does mutagenesis using PCR-based methods [153].
As the experimental results, we observed that the SVM method has most percentage for malware detection approach with 29%, j48 has 17%, Decision tree has 14%, NB has 10%, BF has 5% and the other methods have less than 3% usage in data mining results.
Generally, the types of kriging methods have less estimation error and more precise estimator than IDW and spline (RBF) to generate surface water by comparing their mean error predicted values and their root-mean-square error prediction of the water quality variables.
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The CIT, BIC, and AIC had a higher number of true positives than the CMST approaches, with the AIC-based CMST methods having less power than the BIC-based CMST methods.
The DLC films produced by this method have less than 20% sp3 carbon bonds.
Examples show that networks designed using the combined method have less training and validation error than growing or pruning alone.
According to the comparison results, surgery schedules obtained by the proposed method have less idle time between surgical cases, much higher utilisation of operating rooms and produce less overtime.
The proposed method has less numerically-induced interface distortion than other techniques examined.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com