Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Chen Hexiong"'
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 8, Iss 1, Pp 1831-1840 (2023)
Random Fourier features represent one of the most influential and wide-spread techniques in machine learning to scale up kernel algorithms. As the methods based on random Fourier approximation of the kernel function can overcome the shortcomings of m
Externí odkaz:
https://doaj.org/article/6d1b679120f7497b856673d83ce3c608
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 8, Iss 1, Pp 1819-1830 (2023)
Boosting is an ensemble learning method that combines a set of weak learners into a strong learner to minimize training errors. AdaBoost algorithm, as a typical boosting algorithm, transforms weak learners or predictors to strong predictors in order
Externí odkaz:
https://doaj.org/article/7d4d38ca243444eeb44669a49a8e280a
Autor:
Guo, Wei1 (AUTHOR), Chen, Hexiong1 (AUTHOR), Hang, Feilu1 (AUTHOR), He, Yingjun1 (AUTHOR), Zhang, Jun2 (AUTHOR)
Publikováno v:
Computational Intelligence & Neuroscience. 5/23/2022, p1-8. 8p.
Akademický článek
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Publikováno v:
Electronics (2079-9292); Dec2024, Vol. 13 Issue 23, p4720, 16p
Publikováno v:
Zhejiang Electric Power; 5/25/2023, Vol. 42 Issue 5, p11-17, 7p
Publikováno v:
Mineralogical Magazine; Oct2022, Vol. 86 Issue 5, p854-859, 6p
Publikováno v:
European Journal of Minerology; 2022, Vol. 34 Issue 5, p385-391, 7p
This book constitutes the proceedings of the First China Conference on Networking, CCF ChinaNet 2023, which took place in Wenzhou, China, during September 8-10, 2023. The 13 full papers included in the book were carefully reviewed and selected from 6
