Sentence examples for a reduced subset of from inspiring English sources

Exact(34)

To explore the effect of not having the known actives included in the Prior, a reduced Prior was trained on a reduced subset of the ChEMBL training set where all DRD2 actives had been removed.

To ensure the practicality of the filter set, we constrain the set F to a reduced subset of T. The reduced set is comprised of Gaussian filters distributed over the considered part of the spectrum.

Nevertheless, the real-time restrictions make necessary the selection of a reduced subset of these features to reduce the computational burden.

AUC0 8 was calculated with 7 data points or a reduced subset of 3 data points.

Overall, the RF classifier applied to a reduced subset of input variables composed of the most informative textural features led to the highest accuracy.

The variables, which are sharing in the control system, normally constitute a reduced subset of the total variables that can be defined in the process.

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Similar(26)

Threshold values of 0.95, 0.99 and 1.00 (i.e. corresponding to 95%, 99 % and 100, respectively) was set using the identity argument to produce a reduced subset consisting of 136, 261 and 397 FPs, respectively.

Physical tests have been routinely employed for many years, but the high costs of surface analysis techniques have meant that the complementary chemical information has only been obtained for a much reduced subset of samples.

However, these faster processing structures are able to compute only a quite reduced subset of the transforms supported by the devised proof-of-concept transform core, since they were either specifically designed to accelerate the inverse 8×8 DCT [23], optimized for the implementation of the forward transform coding path of a video encoder [26], or only support the AVC and HEVC standards [7].

In addition to establishing ontologies for biological processes, cellular components and molecular functions for gene products, the GO Consortium developed a GO slim reduced subset of the GO terms.

It is a cascade architecture that progressively uses more computationally intensive alignment algorithms on the reduced subset of probes unaligned in the previous step, making efficient use of computational resources.

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