Exact(53)
"Audience Matching is something that we're building to allow us to much more easily take in datasets [from advertisers].
We can use machines to identify more complex signals and relations in datasets far bigger than any human could analyse.
Generally, association rules help in determining problems pattern in datasets.
Today's algorithms can analyze face and body movements and look for patterns in datasets of known emotions.
In datasets A and B, users typed four fixed expressions ("chocolate", "zebra", "banana" and "taxi"), while in datasets C and D users typed the expression "computador calcula'.
Using this approach, one can effectively identify local outliers in datasets with diverse clusters [28].
Similar(7)
We do not use the first two artificial spike-in datasets (Datasets 1 and 2) here.
We have observed a non-uniform null distribution in the other spike-in datasets.
Propensity scores for each respondent in the filled-in datasets were estimated.
Our comparison employs spike-in datasets for which the truth is assumed to be known.
The combined p method comes closest to the ideal ranking for all three spike-in datasets.
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