Sentence examples for use of regression classes from inspiring English sources

With this reformulation, we identified the underlying Bayesian network to correspond to Fig. 5 b, where the use of regression classes is again reflected by the dependency of the observation model parameters on the Gaussian component k n (cf. Subsection 4.4).

The chance of over-fitting is closely related to the number of regression classes N used.

Using a regression class tree, the Gaussian components are grouped into classes with each class having its own transformation matrix.

The class focuses on the use of regressions to think experimentally.

As human genomic data expand in genetic and geographic coverage [61], [63], [64], the use of latent class regression models could result in a more detailed picture of the role of geography and cultural factors in shaping human genetic variation.

Traditional time series forecasting can be performed using several classes of regression models, as reviewed in De Gooijer and Hyndman (2006), while the two major classes are stochastic and machine learning.

Adjusted model-based estimates of measures of association can be obtained resorting to a general class of regression models used in Survival Analysis called transformation models [ 31].

Researchers often used various types of regression analyses to do research.

Badri et al. ([2011]) investigated the capability of lack of cohesion metrics to predict testability of classes using logistic regression methods.

Each of the 4 binary CKD outcomes was related to the resultant overweight latent classes using logistic regression, weighted by the longitudinal latent class analysis posterior class membership probabilities and minimally adjusted for sex and age at CKD measurements.

Badri and Toure ([2012]) explored the capacity of object-oriented metrics to predict the unit testing effort of classes using logistic regression analysis.