Sentence examples for derivative classification from inspiring English sources

Exact(1)

"The government is using a clever interpretation of this derivative classification scheme to protect someone from describing conduct to which they were exposed," said Lt. Cmdr.

Similar(59)

As expected, based on the derivative, we observed increased classification accuracy of independent spatial and to some degree also temporal features in M1, while in premotor areas such as the PMd, the independent classifiers performed much worse, in line with the evidence suggesting weaker finger representations in premotor areas (Diedrichsen et al., 2013b).

In this month's column and next month's continuation, I'll describe some of these "seasonal" crises and their classifications, derivatives of those used by Tarrant and Uris in the book Career Stages.

However, according to the classification shown above, derivative 16 showed a strong antibiotic effect against Bacillus cereus and a moderate effect against Staphylococcus aureus, Streptococcus, and Klebsiella pneumoniae, but was inactive in cases of Pseudomonas aeruginosa and Escherichia coli.

An additional method from using the original elevations, instead of their derivatives, will be needed for more detailed classification of plains because the derivatives may emphasize artificial errors (Erskine et al. 2007).

Thirteen MFCCs with first and second derivatives were used for the classification and each HMM had 3 states with 512 Gaussian components per state.

Twelve MFCCs with first- and second-order derivatives were used for the classification (the energy-related coefficient was not used in this case).

Fissure detection was based on pattern classification using image derivatives, image gradient and Hessian features.

In this paper a new approach for MTS classification, using a parametric derivative dynamic time warping distance, is proposed.

Nowadays, MG is graded by the MGFA Clinical Classification of Myasthenia Gravis 2002, a derivative of Osserman's and Genkins' classification system [ 10, 11].

In recent past, several neural network models which employ cutting forces and AErms or their derivatives for estimation as well as classification of flank wear have been developed.

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