Sentence examples for identify queries from inspiring English sources

Twenty-eight terms were used to identify queries for both still and moving images, resulting in a subset of 33,149 image queries by 9855 users.

The objectives of our study were to identify queries that are likely to retrieve relevant articles by relating PubMed search techniques and tools to the number of articles retrieved and the selection of articles for further reading.

This framework allows PLASTIC, unlike the state-of-the-art in commercial optimizers, to identify query similarity at a much broader level, including handling changes in projection, selection, and join predicates, as also in the query tables themselves.

Alignment results for the Newbler isotigs and MIRA3 contigs from the BLASTx phase of the BLAST2GO annotation (see below) process were queried to identify query start, query end, and SNP position.

Each finished genome sequence was analysed with ISfinder [ 1] to identify query ISs for testing as described above, and nucleotide BLAST was used to confirm the precise locations and orientations of each IS in each genome.

RE ANNOTATE generates models of repetitive element insertion events into an ancestral state of a query genomic sequence, in order to identify query sequence regions that originated in the same insertion event and that correspond to (possibly) multiple hits in the input R EPEATM ASKER annotation.

In a study published in early June, Horvitz and his colleagues identified queries that provided strong evidence of a recent diagnosis of pancreatic cancer.

Furthermore, changing the number of fake queries significantly impacts the percentage of identified queries only if the adversary considered enough queries in the user profiles.

The theory also supports item analysis, which identifies queries that are hampering the test's reliability, and which may be candidates for refinement or removal.

For this purpose, we devise an algorithm that automatically identifies queries containing explicit goals such as find home to rent in Florida.

It is based on the automatic classification of responses returned by the Web server using data clustering techniques and identifies queries that are able to successfully exploit vulnerabilities.