Zobrazeno 1 - 10
of 24 044
pro vyhledávání: '"lightgbm"'
Publikováno v:
Journal of Synthetic Crystals. Oct2024, Vol. 53 Issue 10, p1720-1728. 9p.
Publikováno v:
Yellow River. 9/10/2024, Vol. 46 Issue 9, p99-105. 7p.
Autor:
Li, Qinghua1 (AUTHOR), Wang, Dong1 (AUTHOR) sdustwd@163.com, Liu, Fengying1 (AUTHOR), Yu, Jiachen1 (AUTHOR), Jia, Zheng1 (AUTHOR)
Publikováno v:
PLoS ONE. 10/7/2024, Vol. 19 Issue 10, p1-21. 21p.
Autor:
Mintemur, Ömer1 omermintemur@aybu.edu.tr
Publikováno v:
Journal of Intelligent Systems: Theory & Applications. Sep2024, Vol. 7 Issue 2, p56-65. 10p.
Autor:
Han, Daoqi1 (AUTHOR) 15623587331@163.com, Li, Honghui1 (AUTHOR) lihh@imau.edu.cn, Fu, Xueliang1 (AUTHOR)
Publikováno v:
Sensors (14248220). Oct2024, Vol. 24 Issue 19, p6179. 25p.
We developed a machine learning model using LightGBM, one of the most popular gradient boosting decision tree methods these days, to predict the Eddington tensor, or the second-order angular moment, for neutrino radiation transport in core-collapse s
Externí odkaz:
http://arxiv.org/abs/2409.02719
Bank credit risk is a significant challenge in modern financial transactions, and the ability to identify qualified credit card holders among a large number of applicants is crucial for the profitability of a bank'sbank's credit card business. In the
Externí odkaz:
http://arxiv.org/abs/2408.03497
Publikováno v:
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 14 9959-9973 2021
Factors, such as rapid relative motion, clutter background, etc., make robust small aerial target detection for airborne infrared detection systems a challenge. Existing methods are facing difficulties when dealing with such cases. We consider that a
Externí odkaz:
http://arxiv.org/abs/2407.01278
Autor:
Zhou, Shuncheng1 (AUTHOR) zhousc1121@163.com, Li, Honghui1 (AUTHOR) lihh@imau.edu.cn, Fu, Xueliang1 (AUTHOR), Han, Daoqi1 (AUTHOR), He, Xin1 (AUTHOR)
Publikováno v:
Sensors (14248220). Sep2024, Vol. 24 Issue 18, p5975. 30p.