Sentence examples for exhaustive features from inspiring English sources

Exact(2)

Regular readers will know Sam McPheeters as the author of some of VICE's most gratifyingly exhaustive features.

Illustrations by Malin Bergström Regular readers will know Sam McPheeters as the author of some of VICE's most gratifyingly exhaustive features.

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In the olden days of waterfall delivery, the concept of shipping future-proofed, fully specified all singing all dancing products with a complete and perfectly considered exhaustive feature set was commonsense.

The company will release an API for Flash developers who think they can add to the already exhaustive feature set or further integrate Wablet with other services.

Figure 5 displays the plot of the best 2-gene classifier found by exhaustive feature selection, consisting of the pair of genes PSMB9 and MT2A.

In addition to univariate gene selection by t-tests, we did exhaustive feature selection (all possible combinations) of single, pairs, and triplets of genes out of the prefiltered set of 1981 genes, using Linear Discrimination Analysis as the classification rule, and bolstered resubstitution as the error estimator (see Methods section).

Towards this goal, we selected the best multivariate sets of candidate genes for prognosis, by means of exhaustive feature selection (all possible combinations) of single, pairs and triplets of genes out of the pre-filtered set of 1981 genes, using Linear Discrimination Analysis as the classification rule, and bolstered resubstitution as the error estimator (see the Methods section).

But over the summer the 26-year-old co-founder of Facebook met up with the New Yorker magazine for several interviews, resulting in an exhaustive 6,000-word 6,000-word

We have used the exhaustive alignment feature of ISAS (Imagenix, USA) to systematically generate uniqueome data for human (hg18 and hg19), mouse (mm9), worm (ce6) and fly (dm3) genomes in both color-space and nucleotide-space.

An exhaustive search of feature combinations identified two features that were consistently the most important in a 10-fold cross-validation procedure, namely the number of mRNAs in an MTB and the fraction of miRNAs outside an MTB that target the mRNAs in the MTB.

The following is a non-exhaustive list of features present in the TREEFINDER version of April 2004.

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