Results 21 to 30 of about 61,068 (254)
Comparing ensemble learning algorithms and severity of illness scoring systems in cardiac intensive care units: a retrospective study [PDF]
Einstein (São Paulo)Objective: Logistic Regression has been used traditionally for the development of most predictor tools of intensive care unit mortality. The purpose of this study is to combine shared risk factors between patients undergoing cardiac surgery and intensive
Beatriz Nistal-Nuño
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Diagnostics, 2023 Different machine learning algorithms have different characteristics and applicability. This study aims to predict ruptured intracranial aneurysms by radiomics models based on different machine learning algorithms and evaluate their differences in the ...
Beisheng Yang +8 more
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A Generalized Stacking for Implementing Ensembles of Gradient Boosting Machines [PDF]
, 2021 The gradient boosting machine is one of the powerful tools for solving regression problems. In order to cope with its shortcomings, an approach for constructing ensembles of gradient boosting models is proposed. The main idea behind the approach is to use the stacking algorithm in order to learn a second-level meta-model which can be regarded as a ...
Andrei V. Konstantinov, Lev V. Utkin
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Single classifier vs. ensemble machine learning approaches for mental health prediction
Brain Informatics, 2023 Early prediction of mental health issues among individuals is paramount for early diagnosis and treatment by mental health professionals. One of the promising approaches to achieving fully automated computer-based approaches for predicting mental health ...
Jetli Chung, Jason Teo
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QUIC Network Traffic Classification Using Ensemble Machine Learning Techniques
Applied Sciences, 2023 The Quick UDP Internet Connections (QUIC) protocol provides advantages over traditional TCP, but its encryption functionality reduces the visibility for operators into network traffic.
Sultan Almuhammadi +2 more
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Atmosphere, 2023 Machine learning algorithms are applied to predict intense wind shear from the Doppler LiDAR data located at the Hong Kong International Airport. Forecasting intense wind shear in the vicinity of airport runways is vital in order to make intelligent ...
Afaq Khattak +3 more
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AGBoost: Attention-based Modification of Gradient Boosting Machine
2022 31st Conference of Open Innovations Association (FRUCT), 2022 Proceedings of the 31st Conference of Open Innovations Association (FRUCT ...
Andrei V. Konstantinov +2 more
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REGRESSION-BASED PREDICTION OF ANXIETY SEVERITY [PDF]
Carpathian Journal of Electrical EngineeringThe present study explores the use of machine learning to predict self-reported anxiety levels based on demographic, behavioral, and physiological data.
Bogdan CHIS +3 more
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Journal of Medical Internet Research, 2023 BackgroundPatients with bone metastasis often experience a significantly limited survival time, and a life expectancy of
Mingxing Lei +8 more
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Gradient Boosting Machine: A Survey
CoRR, 2019 In this survey, we discuss several different types of gradient boosting algorithms and illustrate their mathematical frameworks in detail: 1. introduction of gradient boosting leads to 2. objective function optimization, 3. loss function estimations, and 4. model constructions. 5. application of boosting in ranking.
Zhiyuan He +3 more
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