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pro vyhledávání: '"Liao, Zhiqiang"'
Convex regression is a method for estimating an unknown function $f_0$ from a data set of $n$ noisy observations when $f_0$ is known to be convex. This method has played an important role in operations research, economics, machine learning, and many
Externí odkaz:
http://arxiv.org/abs/2404.09528
Publikováno v:
Shipin Kexue, Vol 45, Iss 6, Pp 87-96 (2024)
In order to establish an effective mechanism for predicting spoilage of chilled goose breast meat, the microfloral succession was investigated by high-throughput sequencing and the dominant spoilage bacteria of chilled goose breast meat were determin
Externí odkaz:
https://doaj.org/article/2022bf4b3b7b41799387d753261725fa
Nonparametric regression subject to convexity or concavity constraints is increasingly popular in economics, finance, operations research, machine learning, and statistics. However, the conventional convex regression based on the least squares loss f
Externí odkaz:
http://arxiv.org/abs/2209.12538
Publikováno v:
In Heliyon 15 April 2024 10(7)
Autor:
Zeng, Junjian, Liao, Zhiqiang, Yang, Hanqin, Wang, Qiong, Wu, Zhiyong, Hua, Fuzhou, Zhou, Zhidong
Publikováno v:
In Neurobiology of Disease April 2024 193
Publikováno v:
In European Journal of Operational Research 16 March 2024 313(3):858-870
Autor:
Wang, Zekun, Xu, Zifei, Cai, Chang, Wang, Xiaodong, Xu, Jianzhong, Shi, Kezhong, Zhong, Xiaohui, Liao, Zhiqiang, Li, Qing 'an
Publikováno v:
In Knowledge-Based Systems 25 January 2024 284
Akademický článek
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Autor:
Liao, Zhiqiang, Huang, Keying, Tang, Siyi, Yamahara, Hiroyasu, Seki, Munetoshi, Tabata, Hitoshi
Publikováno v:
In Results in Physics June 2023 49
Publikováno v:
In Expert Systems With Applications 1 March 2023 213 Part A