Results 31 to 40 of about 126,268 (270)
Gradient boosting with extreme-value theory for wildfire prediction
Extremes, 2023 AbstractThis paper details the approach of the teamKohrrelationin the 2021 Extreme Value Analysis data challenge, dealing with the prediction of wildfire counts and sizes over the contiguous US. Our approach uses ideas from extreme-value theory in a machine learning context with theoretically justified loss functions for gradient boosting.
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Engineering Reports, 2022 The implementation of tree‐ensemble models has become increasingly essential in solving classification and prediction problems. Boosting ensemble techniques have been widely used as individual machine learning algorithms in predicting house prices.
Racheal Sibindi, R. Mwangi, A. Waititu
semanticscholar +1 more source
Remote Sensing, 2023 A drought results from the combined action of several factors. The continuous progress of remote sensing technology and the rapid development of artificial intelligence technology have enabled the use of multisource remote sensing data and data-driven ...
Xiehui Li, Hejia Jia, Lei Wang
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Predicting Bank Loan Default with Extreme Gradient Boosting
CoRR, 2020 5 pages, 3 Figures, 4 ...
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The human gut microbiome across the life course
FEBS Letters, EarlyView.Despite significant individual variation and continuous change throughout life, the human gut microbiome follows some life stage‐specific trends. This article provides a brief overview of how gut microbiome composition shifts across different phases of life. Created in BioRender. Özkurt, E. (2026) https://BioRender.com/8q4nrnc.
Alise J. Ponsero +4 more
wiley +1 more source
Housing Price Prediction Using a Hybrid Genetic Algorithm with Extreme Gradient Boosting [PDF]
, 2023 Predicting property prices provides a better service for customers to evaluate and estimate price movement before their purchases. Some features including OverallQual and GrLivArea, which were selected when applying GA, become important features that ...
Wardani, Dewi +6 more
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Predicting the cytotoxicity of nanomaterials through explainable, extreme gradient boosting
Nanotoxicology, 2022 Nanoparticles (NPs) are a wide class of materials currently used in several industrial and biomedical applications. Due to their small size (1-100 nm), NPs can easily enter the human body, inducing tissue damage. NP toxicity depends on physical and chemical NP properties (e.g., size, charge and surface area) in ways and magnitudes that are still ...
Allegra Conti +4 more
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Predictive Value of Composite Inflammatory Markers for Stroke Prognosis: A Prospective Cohort Study
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Novel composite inflammatory markers' role in stroke prognosis is understudied, and the best predictor is unclear, requiring further exploration. Objectives This study aimed to systematically evaluate the associations of 6 novel composite inflammatory markers on stroke prognosis.
Bing Wu +7 more
wiley +1 more source
Extreme gradient boosting method in the prediction of company bankruptcy
, 2019 Machine learning methods are increasingly being used to predict company bankruptcy. Comparative studies carried out on selected methods to determine their suitability for predicting company bankruptcy have demonstrated high levels of prediction accuracy ...
Pawełek, Barbara
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Extreme Learning Machine Enhanced Gradient Boosting for Credit Scoring
Algorithms, 2022 Credit scoring is an effective tool for banks and lending companies to manage the potential credit risk of borrowers. Machine learning algorithms have made grand progress in automatic and accurate discrimination of good and bad borrowers. Notably, ensemble approaches are a group of powerful tools to enhance the performance of credit scoring.
Yao Zou 0001, Changchun Gao
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