Sentence examples for regression processing from inspiring English sources
We wanted to enrich the ANN and GA data mining techniques with a logistic regression processing module and also to compare the fitness functions using statistical techniques.
The mixed-effect regression models found that processing speed was significantly related to the GM volumes of the three regions, including the right posterior cingulate cortex (p = 0.005), right superior frontal gyrus (p = 0.011), and left superior parietal cortex (p = 0.027).
To further check the robustness of the models, we used multiple spatial weights matrices and estimation methods in processing the spatial regression data.
Hierarchical regression analyses showed that the processing speed and frontal function measures accounted for significant variance in fluid intelligence performance, but there was also a residual effect of age after controlling for each variable individually as well as both variables.
In order to control for processing speed, a regression was performed in which RTs from preexposed stimuli were regressed on RTs from nonpreexposed stimuli.
To control for processing speed, a regression was performed in which RTs from switch trials were regressed on RTs from no-switch (repeat) trials.
Table 3 shows regressions in which the share of and processing exports is regressed on the ratio and other regressors.
In this work, a comparative study on the efficiency of continuous wavelet transform (CWT) as a signal processing tool in univariate regression and a pre-processing tool in multivariate analysis using partial least square (CWT-PLS) was conducted.
Then, the results of the calculation of constant thrust rendezvous is founded by processing with multivariate linear regression method.
Use L2-norm penalized logistic regression [ 37] as a post processing step to further select interactions from those identified in 5b.
This semianalytical modeling approach is a generalized nonlinear multivariate regression technique that is rooted in signal processing.
