Sentence examples for mean vector for from inspiring English sources

The average time to signal (ATS) and adjusted average time to signal (AATS) a shift in the process mean vector for the new chart are derived and regarded as an objective function respectively to optimize its design parameters.

where μ l is the mean vector for language l and Σ is the covariance matrix.

For the transformed vector, the sample mean vector for each subgroup of size n is obtained using Y i ¯ = 1 n ∑ j = 1 n Y ij ; i = 1, 2, …, m.

Given a feature vector x, the histogram flatness score is defined as ((mathbf {m}_{nontext}-mathbf {m}_{text})^{T} Lambda _{F}^{-1}mathbf {x}), where (hat {mathbf {m}}_{nontext}) and (hat {mathbf {m}}_{text}) are the estimated mean vector for the two classes; and (hat {Lambda }_{F}) is the estimated common covariance matrix.

This measure computes the 2-class Fisher criterion, given by (11) where (mathbf {d} = bar{varSigma}^{-1}varDelta ) is the directional vector on which data are projected, Δ=μ1−μ2, (bar{varSigma}^{-1}) is the pseudo-inverse of (bar{varSigma}), μ i is the mean vector for class i, (bar{varSigma} = avarSigma_{1} + 1-a varSigma_{2}}), 1-a varSigma_{2}e scatter matrix of instances for class c i.

SShD for each species was computed as the mean vector for female shape minus the mean vector for male shape.

Given a feature vector y, we define the unnaturalness score as follows: (U = (hat {mathbf {m}}_{text/mix} - hat {mathbf {m}}_{pic/photo})^{T} hat {Lambda }_{U}^{-1} mathbf {y}), where (hat {mathbf {m}}_{pic/photo}) and (hat {mathbf {m}}_{text/mix}) are the estimated mean vectors for the two classes, and (hat {Lambda }_{U}) is the estimated common covariance matrix.

This is shown in Figure 7, where the mean vectors for each genotype are modeled after the temozolomide and MGMT signal, but residual covariances are modeled using an exponential decay or equal correlation.

The three-fold Blinder - Oaxaca decomposition breaks down the difference between 2006 and 1994 in the following way [ 14]: where E vas2006) is the predicted mean VAS for 2006, X'2006 is the mean vector of characteristics for 2006 that determine VAS, and β2006 is the vector of estimated returns to VAS determinants for 2006 (likewise for 1994).

LEYLA ISIK: For each sensor, so that it correlates the vector of sensor activity with the mean vector of sensor activities for each class.

The mean vector of taxa proportions for component PP2 (older and infected) is very close to that of component PN2 (older and uninfected) indicating that these two subject groups have very similar taxonomic proportions, with no statistically significant differences (Fig.  7, Additional file 1: Table S6).