Results 61 to 70 of about 452,858 (310)
Random Forest Similarity Maps: A scalable visual representation for global and local interpretation
, 2021 This Research work focuses on the interpretation and explainability of Random Forest ensemble model using Visual Analytics.Machine Learning prediction algorithms have made significant contributions in today’s world, leading to increased usage in a ...
Mazumdar, Dipankar
core
kevintshoemaker/Random-Forest-Functions: Random Forest Helper Functions
, 2023 Functions for interfacing with the 'party' package, enabling visualization of partial-dependence plots, identification of key interactions ...
Kevin
core +1 more source
Knowledge-Based SystemsThe Random Forest (RF) classifier is often claimed to be relatively well calibrated when compared with other machine learning methods. Moreover, the existing literature suggests that traditional calibration methods, such as isotonic regression, do not substantially enhance the calibration of RF probability estimates unless supplied with extensive ...
Shaker, Mohammad Hossein +1 more
openaire +3 more sources
Multimodal random forest based tensor regression
IET Computer Vision, 2014 This study presents a method, called random forest based tensor regression, for real‐time head pose estimation using both depth and intensity data. The method builds on random forests and proposes to train and use tensor regressors at each leaf node of ...
Sertan Kaymak, Ioannis Patras
doaj +1 more source
Random Forest Prediction of IPO Underpricing
Applied Sciences, 2017 The prediction of initial returns on initial public offerings (IPOs) is a complex matter. The independent variables identified in the literature mix strong and weak predictors, their explanatory power is limited, and samples include a sizable number of ...
David Quintana, Yago Sáez, Pedro Isasi
doaj +1 more source
Investigation of the possibility of landslide hazard mapping using the Random Forest algorithm (Case study: Sardarabad Watershed, Lorestan Province) [PDF]
مخاطرات محیط طبیعی, 2018 With respect to the ability of data analysis techniques, their applications in various engineering and geosciences disciplines have been expanded. In this study, the random forest algorithm has been used for landslide susceptibility mapping in the ...
Ali Talebi +2 more
doaj +1 more source
The creation and analysis of next-day random forest-based high-impact weather forecasts [PDF]
, 2021 Flash floods, tornadoes, damaging winds, and large hail are costly and difficult to predict, even for state-of-the-art, high-resolution numerical weather prediction (NWP) systems. Current operational NWP ensembles have a variety of shortcomings: they are
Loken, Eric
core
Journal of Thoracic Oncology, 2011 In the article by Chen et al,1 the authors used Random Survival Forests (RSF) as part of their approach for analyzing the data. In this note, we will explain RSF in a nontechnical way; precise details of the RSF method are described in the article by Ishwaran et al.2 RSF are an adaptation of Random Forests (RF)3 designed to be used for survival data ...
openaire +2 more sources
FEBS Letters, EarlyView.In this study, we found that human cervical‐derived adipocytes maintain intracellular iron level by regulating the expression of iron transport‐related proteins during adrenergic stimulation. Melanotransferrin is predicted to interact with transferrin receptor 1 based on in silico analysis.
Rahaf Alrifai +9 more
wiley +1 more source