Sentence examples for information for discovering from inspiring English sources

Motion characteristics at a single frame may not always provide an adequate amount of information for discovering the underlying semantics of the examined video sequence, since different classes may present similar motion patterns over a period of time.

Genome-wide time-series data provide a rich set of information for discovering gene regulatory relationships.

This approach may provide complementary information for discovering practitioner's information needs and resource preferences in different contexts.

For example, a common CNVR provides important genome information for discovering genes related to beef grade and meat productivity.

Taken together, such large number of sequences and deep depth of coverage can provide sufficient transcriptomic sequence information for discovering novel genes, and also confirm that high throughput Illumina paired-end sequencing is an efficient, inexpensive and reliable tool for transcriptome characterization and gene discovery in non-model species.

The big idea here is that the startup is trying to build the next generation interface for discovering information from huge, unstructured data sets.

As a result, our topic discovery method is fined-grained to the sentence level context information of the documents for discovering meaningful topics.

Although this work focused on the discovery of HME related content, the same framework can be reused for discovering information related to any topic of interest, including other illegal and terrorist-related content on the Web such as drugs, child pornography, money counterfeiting, human trafficking, or terrorist radicalization, simply by building appropriate classifiers in each case.

Computational intelligence methods (NeuCom, WWKNN and TWNFI) for discovering important information from biological data were used for PAD risk prediction.

The idea is to build up a centralised infrastructure for discovering and accessing information or information resources on priority and emerging pollutants in land and water resources management.

Thus, an LLS score of zero indicates that the data is no more informative than random expectation for discovering functional linkages; increasingly positive LLS scores indicate increasing information in the data set for discovering functional linkages.