Sentence examples for maximizing the correlation from inspiring English sources
These threshold values are determined by maximizing the correlation with the float-determined time series.
Both factors are derived by maximizing the correlation with the elliptical Mexican Hat function with semi-axes, a_i; see Damiani et al 1997.
Optimal configuration of the ANN model has been determined using minimizing the average absolute relative deviation percent (%AARD), mean square errors (MSE) and the maximizing the correlation coefficient (R2) between observed and predicted VLE data with the ANN model.
Molecular information was used to: a) construct an artificial pedigree maximizing the correlation between the molecular coancestry matrix and the coancestry of the artificial genealogies (P* Matrix); and b) computing the Ritland's estimator of between-individuals molecular coancestry (R Matrix).
By taking the derivatives of Equation 4 with respect to a and b, λ1 = λ2 is derived, and the directions a and b maximizing the correlation ρ can be calculated.
To correct for time delay between the left ventricle (LV) and the arterial sampling site, each acquisition's time shift was estimated by maximizing the correlation between the corrected arterial samples and the LV time activity curve (TAC).
To optimize this relationship, we found the quadrangle PC analysis domain boundary that maximized the correlation between SN and one of the first three PC time series of ZMAM (algorithm detailed in Methods).
The first network has a double-barreled architecture, and an unconventional cost function, which maximizes the correlation between the two output neurons (the canonical variates).
The 'touch-free' specimen transfer via cryo-EM holder allows least specimen deformation and thus maximizes the correlation accuracy between cryo-FM and cryo-EM.
The alternating conditional expectation (ACE) algorithm was used to estimate the optimal transformation that maximizes the correlation between the transformed dependent variable (CO2 oil MMP) and the sum of the transformed independent variables.
During the model estimation, a Particle Swarm Optimization (PSO) seeks the optimal combination of all parameters that maximize the correlation coefficient (r) and minimize the Mean Squared Error (MSE) between the synthetic and directly measured VCG leads.
