Sentence examples for robust data set from inspiring English sources

The same new analysis approach will also tackle the BCI signal to noise issue, amplifying the quality of the data to yield a more robust data set.

Our meta-analysis provides a robust data set for evaluations of diet composition for wild horses, livestock, and wildlife, whereas no empirical studies have assessed all species together.

This year's survey collected results from 10,020 people between the ages of 12 and 20, making for a respectably robust data set that sheds some light onto the damaging phenomenon endemic to internet communities.

Still, he doubts even Allentoft's team's "robust data set" will settle the debate about the role people played in the birds' extinction, simply because "some have a belief that humans would not have" done such a thing.

Not only does the company have to establish and maintain that network of high-quality doctors and therapists, it also has to ensure that it builds and maintains a robust data set that ensures that its recommendations are actually on point — and get better over time.

What is seriously wrong here is that Ricroch et al. fail to mention any of the following facts (from the combined/total and thus more robust data set on survival): (a) The survival in the control groups was (exactly) at the recommended 80% at day 21 (OECD reproduction test guideline 211, adopted 2008).

The science underpinning quantitative histomorphometry is rooted in robust data sets defining normal and abnormal bone turnover.

While this experiment shows data fusion can be an effective technique, further experiments using more modern and robust data sets would likely be of greater interest.

The cameras of New Horizons will provide robust data sets that should be imminently amenable to geological analysis of the Pluto system's landscapes.

Google is at its heart an advertising business, but it's gradually expanding into new business segments that all require robust data sets and operations to learn human behavior. .

All of these companies have been able to raise pretty significant rounds of financing, but it also means that there will be a lot of activity — and a bit of a race to get adoption and build up the kind of robust data sets you need to have a formal defensibility in the marketplace.