Sentence examples for a sum of data from inspiring English sources

The phrase "a sum of data" is correct and usable in written English.
It can be used when referring to a total or aggregate amount of information or numerical values collected from various sources.
Example: "The analysis revealed a sum of data that indicated a significant trend in consumer behavior."
Alternatives: "an aggregate of data" or "a total of data".

Exact(2)

In the alternative scenario with multiple (at most ) targets, where represents one of possible target configurations, the likelihood function model in (10) depends instead on a sum of data terms (27).

This can be as simple as a sum of data points, or as complicated as finding the average of certain data points and comparing them to other averages.

Similar(58)

The final prediction for the test data point is a sum of the training data outcomes using only those data points that are close.

The number of data is calculated as a sum of the sampling data points of waveform envelopes assigned for a block by the NMO correction.

Monitoring tools can collect a vast sum of data, especially from large and constantly changing cloud deployments.

Another popular DSM design is the maximization of a weighted sum of data rates, as follows maximize s ∈ S ∑ n ∈ N w n R n subject to P n ≤ P n, tot, n ∈ N, (7). in which the weights w = [w1,..., w N ] are used to give more priority to some users with respect to the other users.

Our data permitted a sum-of-all-the-parts analysis.

A version of the McGhee-von Hippel binding model (McGhee and von Hippel, 1974) derived for a finite lattice (Epstein, 1978) was also used to fit the data with a sum-of-squares minimization (Kowalczykowski et al., 1986).

Lost workday estimates were a sum of NIS [ 18] data and adjustments for recuperation.

We chose to perform simulations using the model given by equation (2) because approximating data with a sum of exponentials is daily practice in pharmacokinetic analysis where data are obtained from "infinitely complex" systems, and we cannot hope to find the "correct" model.

In other words, the smooth kernel estimate in the nonlocal means approach is a sum of bumps placed on the data points.

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