Sentence examples for a finite set of data from inspiring English sources

The objective is to control the movement of multiple cooperating agents allocated over these line segments in order to minimize an uncertainty metric associated with a finite set of data sources/targets.

In our programming method, an agent is described as a concurrent program which updates a finite set of data objects in real time at regular intervals in an object-oriented programming language so that its description can be modular and reusable.

Therefore, using HMMs is not applicable as this approach relies on a finite set of data and so cannot be applied if observations are missing (Paroli and Spezia 2002; Van der Heijden et al. 2004).

Are we talking about a finite set of information that students need to memorize and retain?

And it's safe to assume that any finite set of data (like every single work of literature ever written) will eventually make its way into the cloud.

On a finite set of measured data, an optimality criterion that minimizes the maximal estimation error between the data and the proposed fuzzy model output is used.

Developing the desired knowledge of the deviation zone using only a finite set of the data points always needs a set of efficient interpolation and extrapolation techniques.

The idea is to find, on a finite set of measured data, the confidence interval defined by the lower and upper fuzzy bound that define the band that contains all the output measurements.

Given a finite set of training data {(x j, y j )| j = 1,..., m}, and the center vector of basis function c i, the equation for a simple output is: (4) y j = φ (x ) = ∑ i = 1 N α i ρ (| | x j − c i | | ) where N is the number of neurons in the hidden layer, and α i are the weights minimizing least square between real output and approximate output.

When the probability distribution of X is estimated from a finite set of n measured data, ( x i ) i = 1 n, by a Gaussian kernel, G σ, with standard deviation σ, the Renyi's quadratic entropy (for σ=2) can be estimated as [4] H ^ 2 ( X ) = − log 1 n 2 ∑ i = 1 n ∑ j = 1 n G σ 2 ( x j − x i ), (2).

U is a non-empty finite set of data points.