From the practical viewpoint, supervector regression was demonstrated to be capable of generating improved strength of evidence by providing a more accurate and greater support for the same-origin hypothesis than the different-origin hypothesis if the suspect on trial is the true offender in a court case as compared with GMM-UBM or SVM systems.
Usual recommendations concerning the practical implementation of regression analysis methods remain helpful in this context [ 41, 42].
As a practical matter the regression collective requires no tuning of the individual machines on the part of the researcher: the method is entirely nonparametric and model-free.
A disadvantage of using larger experimental units is that often, less replication is possible due to practical limitations; the regression approach is particularly valuable in such experiments as it does not rely on replicated units at an individual depth.
We assessed the relationship of the height and BMI genetic risk scores with prostate cancer risk, stage, and grade across all 22 eligible studies contributing to PRACTICAL using logistic regression to compute ORs, with robust standard errors to account for within-study clustering.
From a practical perspective, genomic random regression models can be used to predict genomic breeding values for scarce phenotypes (e.g., novel traits) traits measured in extreme environments, or traits measured late in life, such as longevity.
From a practical point of view, regression-modeled relationships between precision and image and site characteristics can be utilized to design future surveys with similar sensing platforms and site conditions for improved DEM precision.
The aforementioned difficulty makes symbolic regression limited in practical applications.
However, Cherkassky and Ma (2004) proposed a simple yet practical analytical approach to SVM regression parameter setting directly from the training data.
