Sentence examples for pertinent descriptors from inspiring English sources

Exact(3)

To include only the most pertinent descriptors in the QSAR models, the variable selection procedure was performed on training chemicals (75% of the data) in two subsequent steps.

By analyzing the background information and by scrutinizing the constituents of the reaction system, it is possible to select pertinent descriptors of the system.

If we analyze the column (FiD), we can observe that the SF and HOG are the most pertinent descriptors since more than 50%% of their features are selected while less than 10%% of Haar and SURF features are selected.

Similar(57)

Effects on other nuclear receptors and xenobiotic metabolizing enzymes were also considered, as were pertinent chemical descriptors and pathways relevant to endocrine-mediated signaling.

This is based on statistically or theoretically derived response surfaces that link the known distribution of a species to the pertinent environmental descriptors, allowing to estimate its potential distribution, as well as to determine the environmental factors limiting its range (Guisan and Zimmermann 2000).

Therefore, we propose an efficient and robust fusion of the most pertinent head pose descriptors and we decide to use the SVM classifier since it is adapted to the real-world applications and it proves its efficiency in literature.

The genetic algorithms selected only the most pertinent and mechanistically interpretable descriptors (2 15, with an average of 11 descriptors).

Next, we expose feature selection techniques allowing to select the most pertinent attributes among these descriptors.

Second, in order to construct a compact, robust, and pertinent subset of the descriptor's features, a comparative study is conducted on some well-known feature selection algorithms.

To visualize which descriptors are more pertinent, we present in Table 4 the total number of each descriptor features (TN), the number of selected features from each descriptor (SN), the rate of the features extracted from each descriptor (FiD), and the participation rate of each descriptor in the fusion (DiF).

We looked for all descriptors and text words pertinent to rehabilitation and linked them with "cross-over".

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