Results 31 to 40 of about 3,566,037 (267)
Predictors used in the aggregated boosted regression tree and multivariate regression tree analyses.
, 2014 Predictors used in the aggregated boosted regression tree and multivariate regression tree analyses.
Michelle R. Heupel (230256) +4 more
core +1 more source
Applied Sciences, 2021 The purpose of this paper is to model the cases of COVID-19 in the United States from 13 March 2020 to 31 May 2020. Our novel contribution is that we have obtained highly accurate models focused on two different regimes, lockdown and reopen, modeling ...
Arnold Kamis +3 more
doaj +1 more source
Appendix B. Evaluation of candidate boosted regression tree models fitted to the simulation output.
, 2016 Evaluation of candidate boosted regression tree models fitted to the simulation ...
Thomas A. A. Prowse (1807420) +3 more
core +1 more source
Improved Boosted Decision Tree Algorithms by Adaptive Apriori and Post-Pruning for Predicting Obstructive Sleep Apnea [PDF]
, 2018 The improved version of Boosted Decision Tree algorithm, named as Boosted Adaptive Apriori post-Pruned Decision Tree (Boosted AApoP-DT), was developed by referring to Adaptive Apriori (AA) properties and by using post-pruning technique.
Ahmad Izuanuddin, Ismail +2 more
core +1 more source
Toward Predicting Slope Stability Hazard Levels Using Ensemble Learning
CivilEngThe present study investigates the application of conventional and ensemble machine learning models for slope stability prediction, which is essential for landslide risk reduction and sustainable infrastructure management. A database containing 627 slope
Yulin Zou +5 more
doaj +1 more source
Computing Abductive Explanations for Boosted Regression Trees
, 2023 International audienceWe present two algorithms for generating (resp. evaluating) abductive explanations for boosted regression trees. Given an instance x and an interval I containing its value F (x) for the boosted regression tree F at hand, the ...
Audemard, Gilles +3 more
core +1 more source
The impact of leukocyte‐associated RNA retention on platelet RNA‐based cancer detection
Molecular Oncology, EarlyView.Platelets carry RNA signals that may help detect cancer, but platelet samples can also retain RNA from white blood cells. We found that this retained white blood cell signal did not significantly affect machine learning cancer classification, suggesting that the cancer‐related RNA signal in platelets is largely independent of leukocyte‐associated RNA ...
Michał Sieczczyński +12 more
wiley +1 more source
Artificial hummingbird algorithm-optimized boosted tree for improved rainfall-runoff modelling
Journal of HydroinformaticsRainfall-runoff modelling is a critical component of hydrological studies, and its accuracy is essential for water resource management. Recent advances in machine learning have led to the development of more sophisticated rainfall-runoff models, but ...
Lyce Ndolo Umba +4 more
doaj +1 more source
Biotechnologie, Agronomie, Société et Environnement, 2020 Description of the subject. This study evaluates the application of Boosted Regression Trees (BRT) for predicting beech dominant height in the Hyrcanian forests of Iran, inscribed as a UNESCO’s World Heritage due to its remarkable biodiversity ...
Seyed Jalil Alavi +4 more
doaj +1 more source
Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
Laura Cif +17 more
wiley +1 more source