Zobrazeno 1 - 10
of 3 085
pro vyhledávání: '"gradient boosted decision tree"'
Autor:
Kopyt, Marcin1 (AUTHOR) marcin.kopyt@pw.edu.pl, Piotrowski, Paweł1 (AUTHOR) pawel.piotrowski@pw.edu.pl, Baczyński, Dariusz1 (AUTHOR)
Publikováno v:
Energies (19961073). Dec2024, Vol. 17 Issue 23, p6194. 21p.
Publikováno v:
Energies, Vol 17, Iss 23, p 6194 (2024)
High-quality short-term forecasts of wind farm generation are crucial for the dynamically developing renewable energy generation sector. This article addresses the selection of appropriate gradient-boosted decision tree models (GBDT) for forecasting
Externí odkaz:
https://doaj.org/article/378dc61b5f764e6c8634ffc1fda2a5dc
Autor:
Nguyen, Thong, Wu, Xiaobao, Dong, Xinshuai, Luu, Anh Tuan, Nguyen, Cong-Duy, Hai, Zhen, Bing, Lidong
Multimodal Review Helpfulness Prediction (MRHP) aims to rank product reviews based on predicted helpfulness scores and has been widely applied in e-commerce via presenting customers with useful reviews. Previous studies commonly employ fully-connecte
Externí odkaz:
http://arxiv.org/abs/2305.12678
Autor:
Iosipoi, Leonid, Vakhrushev, Anton
Gradient Boosted Decision Tree (GBDT) is a widely-used machine learning algorithm that has been shown to achieve state-of-the-art results on many standard data science problems. We are interested in its application to multioutput problems when the ou
Externí odkaz:
http://arxiv.org/abs/2211.12858
Autor:
Siripuri Kiran, Ganta Raghotham Reddy, Girija S.P., Venkatramulu S., Kumar Dorthi, Chandra Shekhar Rao V.
Publikováno v:
Healthcare Analytics, Vol 3, Iss , Pp 100173- (2023)
Cardiovascular disease (CVD) is a common disorder frequently resulting in death. An increase in the death rate among adults is attributed to several factors, including smoking, high blood pressure, obesity, and cholesterol. Early diagnosis of CVDs ca
Externí odkaz:
https://doaj.org/article/6a9024ec59254a26a7e46e798aa5c359
Autor:
Kiran, Siripuri, Reddy, Ganta Raghotham, S.P., Girija, S., Venkatramulu, Dorthi, Kumar, V., Chandra Shekhar Rao
Publikováno v:
In Healthcare Analytics November 2023 3
Akademický článek
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Autor:
Hu, Mengting1 (AUTHOR) 2014110903@xmut.edu.cn, Guo, Lingxiang2 (AUTHOR), Liu, Jing1 (AUTHOR), Song, Yuxuan3 (AUTHOR)
Publikováno v:
Sensors (14248220). Jun2023, Vol. 23 Issue 11, p5353. 18p.
Autor:
Jyoti Chauhan, R. M. Rani, Vempaty Prashanthi, Hamad Almujibah, Abdullah Alshahri, Koppula Srinivas Rao, Arun Radhakrishnan
Publikováno v:
Journal of Water Reuse and Desalination, Vol 13, Iss 3, Pp 393-410 (2023)
One way to improve the infrastructure, operations, monitoring, maintenance, and management of wastewater treatment systems is to use machine learning modelling to make smart forecasting, tracking, and failure prediction systems. This method aims to u
Externí odkaz:
https://doaj.org/article/9c4a7de0bb794cc3a858f692c46afbf2
Akademický článek
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