Sentence examples for integrated regression from inspiring English sources

An integrated regression model that incorporated 3D pose and 3D motion models into the GPR model described in this paper would likely improve the robustness of both weak pose estimation and action recognition.

This method integrates regression trees and clinical class-specific networks, and can be applied to other clinical domains.

It is no coincidence that some recent developments in regression modelling have been marked by the efforts to integrate regression with a variety of covariance structure models [ 1- 3].

Structural Regression Trees integrates the regression method of learning into inductive logic programming [155].

The first is designed to complement the analysis proposed in Objective 2. Using the material compiled in the monographs, quantitative variables and categorical taxonomic variables will be created and integrated into regression analyses explaining the effects of the program.

The second term is the graph embedding and it aims at integrating the regression, graph embedding and label propagation for the unlabeled data samples from the labeled data samples.

This study proposes a strength prediction model integrating boosted regression trees (BRT) and particle swarm optimization (PSO), where the BRT algorithm was used for modelling the non-linear relationship between inputs and outputs and PSO was used for the BRT hyper-parameters tuning.

BUDEM, as a spatio-temporal dynamic model for simulating urban growth in the Beijing metropolitan area, is based on the urban growth theory and integrates logistic regression and MonoLoop to obtain the weights for the transition rule with multi-criteria evaluation configuration.

In this study, Forest Inventory and Analysis (FIA) data, Landsat, and Landscape Fire and Resource Management Planning Tools Project LANDFIREE) data were integrated in a regression tree model for estimating AFBC at a 30-m resolution in the Utah High Plateaus.

HADS scores and diagnosis were also integrated in the regression models (data not shown) but did not add any relevant effect.

Each factor resulting from the factor analysis was integrated into a regression model in order to identify the predictive covariates of responsibility (Table  5).