Sentences with phrase «data against time»

I could count the number of cars traveling on a section of road over the course of several hours / days and plot that data against time.

Not exact matches

Microsoft is betting that new data center hardware from long - time partners Hewlett - Packard Enterprise, Dell, and Lenovo will boost its Azure cloud against rival Amazon.
Cloudmark Sender Intelligence (CSI) uses real - time data from the Cloudmark Global Threat Network to create accurate, comprehensive sender profiles enabling communications service providers to set informed policies against good, bad and suspect senders.
The «out of sample» behavior of the economy at that time, compared with post-war behavior, prompted my insistence on stress - testing our methods against Depression - era data.
Intent data is an interpretation of implied pain points, and it provides a stark advantage against a competitor: timing.
That lack of data leaves content marketers helpless in justifying new resources, proving the ROI of their time, and pushing back against unrealistic requests.
The data buoyed U.S. stocks and helped lift the dollar to a 5-1/2 - year high against a basket of currencies as traders brought forward bets on the timing of the first rate hike.
No previous research appears to have analysed broadcast advertisements against the ACMA's scheduling data, instead using times when children are likely to be viewing as a proxy for scheduling information.
Salven Bilic has already made know his Game App Data Plan of «SPRING SURPRISE» he will employ against the Gunners at the Emirates Stadium on Sunday early kick - off time game.
Data is also used to give players a half time indication on how they performed against certain metrics.
For example, if a player had a shot at De Gea from inside the box from open play, the shot may have a xGoT total of 0.25 meaning that, based on historical data, such a shot would be scored 25 per cent of the time by an average player against an average goalkeeper.
This week, the organisation Against Borders for Children (ABC) launched a crowdfunder to help fund another legal challenge - this time against schools collecting nationality and country of birth data from chAgainst Borders for Children (ABC) launched a crowdfunder to help fund another legal challenge - this time against schools collecting nationality and country of birth data from chagainst schools collecting nationality and country of birth data from children.
TIMES SQUARE — Times Square street vendors who complain they are getting crushed under the mayor's campaign against topless panhandlers saw the number of tickets handed out by the NYPD quadruple at the end of the summer, according to city TIMES SQUARE — Times Square street vendors who complain they are getting crushed under the mayor's campaign against topless panhandlers saw the number of tickets handed out by the NYPD quadruple at the end of the summer, according to city Times Square street vendors who complain they are getting crushed under the mayor's campaign against topless panhandlers saw the number of tickets handed out by the NYPD quadruple at the end of the summer, according to city data.
The data commissioners have not spelled out the risks of a leak from the Wi - Fi database, and are unlikely to press for laws against Wi - Fi data collection any time soon.
The strength of this technique is that the model is continuously fine - tuned — it compares its predictions against the real - world data and self - corrects in near - real time.
The Judgement - or J - value, a new method pioneered by Professor Thomas that assesses how much should be spent to protect human life and the environment that has recently been validated against pan-national data, would value life about four times higher, closer to the value used by the US Department of Transportation ($ 9.1 million in 2012).
When they cross-referenced that time against New Jersey traffic data for the roads crossing their study area, they found that snakes were virtually guaranteed to encounter several cars during any road crossing — anywhere from 3 - 4 cars crossing the least - used road, to more than 30 cars per two - minutes on New Jersey's Route 72 during the busy summer season.
How do theoretical predictions of individual fiscal behaviors match up against real - world, real - time data?
Like Abbott, Boldizsár Bencsáth at the CrySys Lab in Budapest, Hungary, thinks only time will cure the problem, perhaps as ISPs gradually issue broadband routers secured against UPnP data extraction.
This time, to check my genetic fortitude against such toxins I will use data from more than 1.5 million DNA markers I had tested for this project.
There'll be a mass of data to test the models against — a really big signal - to - noise ratio in a few decades time.
By verified, I mean that for a 50 year prediction, you move the start and end dates back in time at 10 or 20 year intervals until you run out of good data to compare against.
Publishing in The Lancet journal a group of researchers have analysed data from a previous outbreak of Zika virus in French Polynesia and report that of 42 patients diagnosed with Guillain - Barré syndrome at the time, all showed signs of an immune response against Zika whereas only half of those in a control group did.
In the same Finnish cohort that found doses of vitamin D in excess of 2,000 IU per day during infancy to powerfully protect against type 1 diabetes (see sidebar «Vitamin D and Type 1 Diabetes below), regular supplementation with vitamin D was associated with a 33 percent increased risk of atopy and allergic rhinitis compared to irregular or no supplementation; among those who supplemented regularly, the data suggested that supplementation with 2000 IU or more per day may increase the risk of asthma by as much as four times compared to regular supplementation with lower doses, although the study lacked the statistical power to determine whether or not this apparent effect was due to chance.34
The software monitors data from a store's real - time CCTV, or surveillance cameras, matching faces against a database of important shoppers (read: big spenders or celebs).
While they should be free to play and gather data electronically for an hour or two daily (any screen time counts against whatever daily budget you set), this shouldn't become their primary outlet for meaningful social engagement.
Researchers Chris Baumann and his Macquarie colleague Hana Krskova analysed PISA data to ascertain the impact of school discipline — students listening well in class, the noise level, teacher waiting time, class start times, and students working well — against the impact of increased education spending.
The Student Level — Standards Report now shows detailed, real - time data on how a student is progressing toward proficiency against a whole slew of academic standards — and across grade levels.
He explains this could be used to create an anonymised data map of school behaviour to compare schools over time, and against other schools.
When the matter of inappropriate discipline was raised — this was what all speaking against the plans for a new charter school found most alarming — there were attempts by Achievement First reps to brush the issue aside by repeating that almost half of the suspension / expulsion data was due to In School Suspensions, which they defined as when a student was removed from the classroom for more than two hours at a time.
At the same time, the test's administrators and analysts cautioned against reading too much into one snapshot of the data or blaming any particular policy or party, keeping in mind that scores have improved significantly over the years.
Against this backdrop, principals understandably devoted substantial resources, including the time of their instructional coaches, to collating student test data, designing intervention systems for low - performing students, and asking those whose content knowledge they trusted most (school - hired coaches) to teach or tutor students.
Both math and reading scores declined for first time since the National Assessment of Educational Progress (NAEP) took its current form in 1998, according to data released by the National Assessment Governing Board on Wednesday, and Common Core watchers say the many critics of the standards could use the dip as ammunition in their war against the Common Core.
But they'd have to be damned clear about how they're calculating unit sales, would have to aggregate sufficient data so that they had an error estimate in their calculation, would have to poll for lengthy periods of time, and would have to test their results against actual data to see how the model (and this is a model of earnings, not data about earnings) corresponds with reality.
Howey's also gathering user - submitted data, so it'd be interesting to see if we could run the same Amazon Sales Rank methodology for a single book for an extended length of time (i.e., not for a single snapshot) and then bump that up against what the author actually reports getting for the period in question.
All market data contained within the CME Group website should be considered as a reference only and should not be used as validation against, nor as a complement to, real - time market data feeds.
Moving to large numbers of players who expect to be able to interact with each other en masse, chat, trade, work together, work against each other, connect any time of the day or night, never lose any saved data, never have their accounts hacked, never lose out to a cheater or a scammer, and never be abused in chat by a troll... well, it's games development in «Extreme difficulty» mode.
This means that for the first time a large number of models can be readily tested against temperature data recorded AFTER those models were finalized.
Please, let's show at least this much respect for the «scientific method», as practiced in the physical sciences since the time of Sir Isaac Newton and Rene Descartes — in which a falsifiable hypothesis is tested against measurements of physical data!
There'll be a mass of data to test the models against — a really big signal - to - noise ratio in a few decades time.
You may be against properly releasing the code and data because you don't want to waste your time with skeptics.
While I think there are ample arguments against the proposition that the human influence on climate is of any significant magnitude, I don't think it is likely that there is sufficient data at this time to claim to prove that there is no miniscule such influence.
Thus in my opinion, choosing the averages of historical data without looking at the diurnal variation gives a huge positive bias against the real «background» CO2 levels of that period in time.
«In reality climate models have been tested on multicentennial time scales against paleoclimate data (see the most recent PMIP intercomparisons) and do reasonably well at simulating small Holocene climate variations, and even glacial - interglacial transitions.
That is, I think that you want to exempt your model from testing against future data (by declining to call your model values «predictions» etc), while at the same time claiming that the model values for the future are exceedingly important because that's what the future will be like if CO2 increases continue.
I took the HADCRU4 global monthly data and compared the last 45 * 12 months against the past, moving one month at a time.
I know enough about time series with limited data to not read too much into periodicities, yet all when has to do is some simple comparisons on the residual temperature anomaly against noise models and one can see what role it plays.
Each data point represented the average of all surveys for a given 0.5 - degree pixel conducted during the twice - weekly time period (temporal resolution) of the satellite data, plotted against the DHW value observed for that pixel and time period.
«A correlation plot of... year on year differences of monthly measurements at Mauna Loa against those at the South Pole [shows]... the time difference is positive when the South Pole data leads the Mauna Loa data.
Errors associated with using this statistical model to determine the global average time series is estimated by subsampling the observations (primarily ship tracks) in the earlier period against reanalysis data for the modern period.
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