Sentences with phrase «at subsets of the data»

Not exact matches

The project is detailed in the contract as a seven step process — with Kogan's company, GSR, generating an initial seed sample (though it does not specify how large this is here) using «online panels»; analyzing this seed training data using its own «psychometric inventories» to try to determine personality categories; the next step is Kogan's personality quiz app being deployed on Facebook to gather the full dataset from respondents and also to scrape a subset of data from their Facebook friends (here it notes: «upon consent of the respondent, the GS Technology scrapes and retains the respondent's Facebook profile and a quantity of data on that respondent's Facebook friends»); step 4 involves the psychometric data from the seed sample, plus the Facebook profile data and friend data all being run through proprietary modeling algorithms — which the contract specifies are based on using Facebook likes to predict personality scores, with the stated aim of predicting the «psychological, dispositional and / or attitudinal facets of each Facebook record»; this then generates a series of scores per Facebook profile; step 6 is to match these psychometrically scored profiles with voter record data held by SCL — with the goal of matching (and thus scoring) at least 2M voter records for targeting voters across the 11 states; the final step is for matched records to be returned to SCL, which would then be in a position to craft messages to voters based on their modeled psychometric scores.

The data was acquired and processed by Cambridge University professor Aleksandr Kogan whose personality quiz app, running on Facebook's platform in 2014, was able to harvest personal data on tens of millions of users (a subset of which Kogan turned into psychological profiles for CA to use for targeting political messaging at US voters).

Any results that are reported to constitute a blinded, independent validation of a statistical model (or mathematical classifier or predictor) must be accompanied by a detailed explanation that includes: 1) specification of the exact «locked down» form of the model, including all data processing steps, algorithm for calculating the model output, and any cutpoints that might be applied to the model output for final classification, 2) date on which the model or predictor was fully locked down in exactly the form described, 3) name of the individual (s) who maintained the blinded data and oversaw the evaluation (e.g., honest broker), 4) statement of assurance that no modifications, additions, or exclusion were made to the validation data set from the point at which the model was locked down and that neither the validation data nor any subset of it had ever been used to assess or refine the model being tested

«Our data suggests that targeting specific immune cell subsets at defined stages of disease may represent a better approach to therapeutic immunomodulation to improve heart failure.»

In particular, one of the platforms used in their work, the Illumina 610 - Quad array, has been shown in unpublished studies by other investigators to produce artifactual genotype data at a subset of SNPs.

With passage of the Local Control Funding Formula, California became the first state to require schools to consider how best to serve a small subset of at - risk students: youth in foster care.According to 2016 California Department of Education data, in English language arts, 56.2 percent of foster students did not meet standards on the Smarter Balanced tests (compared to 30.5 percent of non-foster students) and for mathematics, 64 percent of foster students did not meet standards (compared to 37.3 percent of non-foster students).

At best, Nielsen is capturing data on a far smaller subset of both markets than it claims.

The data as used in the H&S 2002 paper seems to be a different subset of the total data gathered than the data used by Briffa (the numbers of cores used at any one time is significantly different — Briffa uses more which I would regard as a good thing).

The data presented is a subset of experimental data from a multi-phase, multi-year research project at the Vancouver Field Exposure Test Facility led by Building Science Corporation (BSC) and Gauvin 2000 Construction Limited.

Written by a NOAA National Climatic Data Center scientist, it examined only a small subset of stations — all that had their siting checked at that time — and found no bias in long - term trends.

That could add up: an earlier LA Times investigation (h / t DeSmogBlog), based on data from Friends of the Earth, counted up at least 12 billion tonnes of carbon dioxide from just a subset of the projects the two funded in 1993 - 2006.

After I manually transcribed and analysed relevant data from a subset of the first batch of over 4,000 scanned A8 forms received on 28 October, I wrote to Minister Freydenberg on 12 November explaining that the values recorded manually on the A8 forms from the mercury thermometers for the period November 1996 to December 2000 at Mildura are significantly different from the official values recorded from the electronic probes.

I never like looking at the correlation of a data set to a subset of itself.

The other aspect of this post, which is to look at the RCS average curve for subsets of the data, and then express surprise when differences are found, completely misses the point of the RCS method in the first place which is to first remove the common growth - related signal from the entire series before looking at any environmental influence.

al had chosen one subset of their data to look at, they'd have a different result:

I believe it is called sample selection bias when one looks at only a small subset of the data and attempts to draw conclusions about he validity of the full dataset.

Post-Graduation Goals According to the ABA law graduate employment data, more than half of employed law students choose to work at law firms, and I would assume that only a small subset of the 14.6 % who choose to go into «Business & Industry» are entrepreneurs.

New test data on a particular subset of Takata airbag inflators show a far higher risk of ruptures during airbag deployment, according to a recent article published by Brett Emison, partner at Langdon & Emison.

Christine A. Amalfe, President of the NAWL Foundation and Director at Gibbons P.C. in Newark, NJ, described the survey as «the only national study of the nation's 200 largest law firms, which annually tracks the progress of women lawyers at all levels of private practice, including the most senior positions, and collects data on firms as a whole rather than from a subset of individual lawyers.»

The project is detailed in the contract as a seven step process — with Kogan's company, GSR, generating an initial seed sample (though it does not specify how large this is here) using «online panels»; analyzing this seed training data using its own «psychometric inventories» to try to determine personality categories; the next step is Kogan's personality quiz app being deployed on Facebook to gather the full dataset from respondents and also to scrape a subset of data from their Facebook friends (here it notes: «upon consent of the respondent, the GS Technology scrapes and retains the respondent's Facebook profile and a quantity of data on that respondent's Facebook friends»); step 4 involves the psychometric data from the seed sample, plus the Facebook profile data and friend data all being run through proprietary modeling algorithms — which the contract specifies are based on using Facebook likes to predict personality scores, with the stated aim of predicting the «psychological, dispositional and / or attitudinal facets of each Facebook record»; this then generates a series of scores per Facebook profile; step 6 is to match these psychometrically scored profiles with voter record data held by SCL — with the goal of matching (and thus scoring) at least 2M voter records for targeting voters across the 11 states; the final step is for matched records to be returned to SCL, which would then be in a position to craft messages to voters based on their modeled psychometric scores.