Results 31 to 40 of about 106,398 (294)
Boost-R: Gradient boosted trees for recurrence data [PDF]
Journal of Quality Technology, 2021 Recurrence data arise from multi-disciplinary domains spanning reliability, cyber security, healthcare, online retailing, etc. This paper investigates an additive-tree-based approach, known as Boost-R (Boosting for Recurrence Data), for recurrent event data with both static and dynamic features.
Xiao Liu 0044, Rong Pan
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CoRR, 2018 6 pages, 1 figure, ICML 2018 AutoML ...
Janek Thomas, Stefan Coors, Bernd Bischl
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Gradient boosting for quantitative finance
The Journal of Computational Finance, 2021 In this paper, we discuss how tree-based machine learning techniques can be used in the context of derivatives pricing. Gradient boosted regression trees are employed to learn the pricing map for a couple of classical, time-consuming problems in quantitative finance.
Davis, Jesse +3 more
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Gradient boosting for linear mixed models [PDF]
The International Journal of Biostatistics, 2021 Abstract Gradient boosting from the field of statistical learning is widely known as a powerful framework for estimation and selection of predictor effects in various regression models by adapting concepts from classification theory.
Griesbach, Colin +2 more
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Gradient boosting decision tree algorithm.
, 2021 Gradient boosting decision tree algorithm.
Wenjing Xu (183446) +5 more
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Machine learning techniques for classifying dangerous asteroids
MethodsX, 2023 There is an infinite number of objects in outer space, and these objects and asteroids might be harmful. Hence, it is wise to know what is surrounding us and what can harm us amongst those.Therefore, in this article, with the hyperparameters tuning of ...
Seyed Matin Malakouti +2 more
doaj +1 more source
Gradient boosting with extreme-value theory for wildfire prediction
, 2022 This paper details the approach of the team $\textit{Kohrrelation}$ in 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
Koh, Jonathan
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Gradient Boosting in Motor Insurance Claim Frequency Modelling [PDF]
, 2023 Modelling claim frequency and claim severity are topics of great interest in property-casualty insurance for supporting underwriting, ratemaking, and reserving actuarial decisions.
Clemente, Carina +2 more
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Remote Sensing, 2023 This paper proposes a gradient-based data fusion and classification approach for Synthetic Aperture Radar (SAR) and optical image. This method is used to intuitively reflect the boundaries and edges of land cover classes present in the dataset.
Achala Shakya +2 more
doaj +1 more source
Accelerating Gradient Boosting Machine
CoRR, 2019 Gradient Boosting Machine (GBM) is an extremely powerful supervised learning algorithm that is widely used in practice. GBM routinely features as a leading algorithm in machine learning competitions such as Kaggle and the KDDCup. In this work, we propose Accelerated Gradient Boosting Machine (AGBM) by incorporating Nesterov's acceleration techniques ...
Haihao Lu +3 more
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