Results 11 to 20 of about 3,566,037 (267)
Boosted regression tree variable permutation importance.
, 2021 Boosted regression tree variable permutation importance.
Thomas R. Unnasch (7444841) +3 more
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ISPRS International Journal of Geo-Information, 2016 The prediction of travel times is challenging because of the sparseness of real-time traffic data and the intrinsic uncertainty of travel on congested urban road networks.
Faming Zhang +5 more
doaj +1 more source
Boosted Beta regression. [PDF]
, 2013 Regression analysis with a bounded outcome is a common problem in applied statistics. Typical examples include regression models for percentage outcomes and the analysis of ratings that are measured on a bounded scale.
Andreas Mayr (406146) +24 more
core +2 more sources
, 2023 Fitting function variables and distribution of fitted values created based on the boosted regression tree models.
Ye Chen (241426) +2 more
core +1 more source
European Journal of Medical Research, 2022 Highlights Six machine learning methods, Logistic Regression (LR), Naïve Bayes, Support Vector Machine (SVM), Boosted Tree, Classification and Regression Tree (CART), and Bootstrap Forest were compared together in order to predict sepsis.
Behrad Barghi, Nasibeh Azadeh-Fard
doaj +1 more source
Modelling point mass balance for the glaciers of the Central European Alps using machine learning techniques [PDF]
The Cryosphere, 2023 Glacier mass balance is typically estimated using a range of in situ measurements, remote sensing measurements, and physical and temperature index modelling techniques.
R. Anilkumar +4 more
doaj +1 more source
Frontiers in Ecology and Evolution, 2023 IntroductionAccurate assessment of the net ecosystem productivity (NEP) is very important for understanding the global carbon balance. However, it remains unknown whether climate change (CC) promoted or weakened the impact of human activities (HA) on the
Min Liu +23 more
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Engineering Applications of Computational Fluid Mechanics, 2020 High level of tropospheric ozone concentration, exceeding allowable level has been frequently reported in Malaysia. This study proposes accurate model based on Machine Learning algorithms to predict Tropospheric ozone concentration in major cities ...
Ellysia Jumin +7 more
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Analysis of Effects of Recent Changes in Hydrothermal Conditions on Vegetation in Central Asia
Land, 2022 Understanding the relationship of hydrothermal conditions to vegetation changes is conducive to revealing the feedback mechanism connecting climate variations and vegetation.
Xiuwei Xing +7 more
doaj +1 more source
Construction cost estimation of reinforced and prestressed concrete bridges using machine learning
Građevinar, 2021 Seven state-of-the-art machine learning techniques for estimation of construction costs of reinforced-concrete and prestressed concrete bridges are investigated in this paper, including artificial neural networks (ANN) and ensembles of ANNs, regression ...
Miljan Kovačević +3 more
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