Sentence examples for Vast datasets from inspiring English sources

Vast datasets are being gathered to delineate networks of various types and levels, including networks of genetic and protein protein interaction networks of transcriptional and post-transcriptional regulation, social networks and multiscale networks that span several of these domains (Fowler et al., 2009; Tan et al., 2007).

Yet hidden inside these vast datasets can be remarkably elegant structure, says Dr. Cunningham, who is also a member of Columbia's Data Science Institute.

We then focus on one widely used set of methods, dimensionality reduction techniques, which allow users to summarize and compare these vast datasets.

But that misses the fundamental point that its overwhelming strength comes from its ownership of vast datasets – and that data has often been acquired under exclusive deals or with ill-informed consent.

Deep learning is beginning to impact biological research and biomedical applications as a result of its ability to integrate vast datasets, learn arbitrarily complex relationships and incorporate existing knowledge.

Companies are increasingly using computers to scour vast datasets in order to spot inefficiencies, while they are also employing machines to control the flow of activity in warehouses and factories and to take meter readings.

Computer scientists have compared a vast dataset of Yellow Taxi fares in New York City against Uber prices for the first time.

Yet few algorithms exist that exploit this vast dataset to identify hypo and hypermethylated genes in cancer.

The massive number of connections inside a neural network have to be fine-tuned during training and this can only be done with a vast dataset.

The government (or whatever other contractor manages and performs dredging on this vast dataset) could set certain red flags or websites which when visited would trigger something to happen.

The study, which Konisky authored with Matthew Arbuckle of the University of Cincinnati, draws on a vast dataset from the 2010 installment of the Cooperative Congressional Election Study, which not only asks people about their religious views, affiliations, and habits, but also samples a huge group of Americans — some 55,000 of them.