Results 91 to 100 of about 360,197 (329)
Analyzing Household Expenditures with Generalized Random Forests
Cauchy: Jurnal Matematika Murni dan AplikasiThis study investigates the performance of Generalized Random Forest (GRF), which has been known to be useful in understanding heterogeneous treatment effects (HTE) and non-linear relationships in high-dimensional data.
Eriski Isnanda +2 more
doaj +1 more source
Analysis of purely random forests bias [PDF]
, 2014 Random forests are a very effective and commonly used statistical method, but their full theoretical analysis is still an open problem. As a first step, simplified models such as purely random forests have been introduced, in order to shed light on the ...
Arlot, Sylvain, Genuer, Robin
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Impact of Asymptomatic Intracranial Hemorrhage on Outcome After Endovascular Stroke Treatment
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Endovascular treatment (EVT) achieves high rates of recanalization in acute large‐vessel occlusion (LVO) stroke, but functional recovery remains heterogeneous. While symptomatic intracranial hemorrhage (sICH) has been well studied, the prognostic impact of asymptomatic intracranial hemorrhage (aICH) after EVT is less certain ...
Shihai Yang +22 more
wiley +1 more source
Classification of PolSAR Images by Stacked Random Forests
ISPRS International Journal of Geo-Information, 2018 This paper proposes the use of Stacked Random Forests (SRF) for the classification of Polarimetric Synthetic Aperture Radar images. SRF apply several Random Forest instances in a sequence where each individual uses the class estimate of its predecessor ...
Ronny Hänsch, Olaf Hellwich
doaj +1 more source
Distributional Random Forests: Heterogeneity Adjustment and Multivariate Distributional Regression
, 2021 Random Forests (Breiman, 2001) is a successful and widely used regression and classification algorithm. Part of its appeal and reason for its versatility is its (implicit) construction of a kernel-type weighting function on training data, which can also ...
Bühlmann, Peter +4 more
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Fluid Biomarkers of Disease Burden and Cognitive Dysfunction in Progressive Supranuclear Palsy
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Identifying objective biomarkers for progressive supranuclear palsy (PSP) is crucial to improving diagnosis and establishing clinical trial and treatment endpoints. This study evaluated fluid biomarkers in PSP versus controls and their associations with regional 18F‐PI‐2620 tau‐PET, clinical, and cognitive outcomes.
Roxane Dilcher +10 more
wiley +1 more source
Classification tree and random forest model to predict under-five malnutrition in Bangladesh [PDF]
, 2021 Sabbir Ahmed Hemo, Md. Israt Rayhan
openalex +1 more source
Time reversal dualities for some random forests
, 2014 We consider a random forest $\mathcal{F}^*$, defined as a sequence of i.i.d. birth-death (BD) trees, each started at time 0 from a single ancestor, stopped at the first tree having survived up to a fixed time $T$.
Felipe, Miraine Dávila, Lambert, Amaury
core
Arthritis Care &Research, EarlyView.Objective In complex diseases, it is challenging to assess a patient's disease state, trajectory, treatment exposures, and risk of multiple outcomes simultaneously, efficiently, and at the point of care. Methods We developed an interactive patient‐level data visualization and analysis tool (VAT) that automates illustration of the trajectory of a ...
Ji Soo Kim +18 more
wiley +1 more source
An Enhanced Proximal Policy Optimization-Based Reinforcement Learning Method with Random Forest for Hyperparameter Optimization [PDF]
, 2022 Zhixin Ma, Shengmin Cui, Inwhee Joe
openalex +1 more source