Zobrazeno 1 - 10
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pro vyhledávání: '"Zhao Junlong"'
We develop here a novel transfer learning methodology called Profiled Transfer Learning (PTL). The method is based on the \textit{approximate-linear} assumption between the source and target parameters. Compared with the commonly assumed \textit{vani
Externí odkaz:
http://arxiv.org/abs/2406.00701
Transfer learning is an emerging paradigm for leveraging multiple sources to improve the statistical inference on a single target. In this paper, we propose a novel approach named residual importance weighted transfer learning (RIW-TL) for high-dimen
Externí odkaz:
http://arxiv.org/abs/2311.07972
Publikováno v:
Zhongguo quanke yixue, Vol 27, Iss 29, Pp 3623-3628 (2024)
Background While the connection between monounsaturated fatty acid (MUFA) intake and non-alcoholic fatty liver disease (NAFLD) has received attention, research in Chinese populations remains scarce. Objective This study aims to evaluate the associati
Externí odkaz:
https://doaj.org/article/2835aaac84a94a82964c354d4ac9b0cd
Autor:
Zhou, Yan-Hui, Minganti, Fabrizio, Qin, Wei, Wu, Qi-Cheng, Zhao, Junlong, Fang, Yu-Liang, Nori, Franco, Yang, Chui-Ping
Publikováno v:
Physical Review A 104, 053718 (2021)
We propose a mechanism to engineer an $n$-photon blockade in a nonlinear cavity with an $n$-photon parametric drive $\lambda(\hat{a}^{\dag n}+\hat{a}^n)$. When an $n$-photon-excitation resonance condition is satisfied, the presence of n photons in th
Externí odkaz:
http://arxiv.org/abs/2301.02834
Publikováno v:
In Construction and Building Materials 18 October 2024 448
Publikováno v:
In Molecular & Biochemical Parasitology December 2024 260
Autor:
Du, Bin, Zhao, Junlong
Distributed frameworks are widely used to handle massive data, where sample size $n$ is very large, and data are often stored in $k$ different machines. For a random vector $X\in \mathbb{R}^p$ with expectation $\mu$, testing the mean vector $H_0: \mu
Externí odkaz:
http://arxiv.org/abs/2110.02588
Autor:
Zhang, Xin, Zhao, Junlong
Publikováno v:
In Computational Statistics and Data Analysis April 2024 192
Hierarchical classification problems are commonly seen in practice. However, most existing methods do not fully utilize the hierarchical information among class labels. In this paper, a novel label embedding approach is proposed, which keeps the hier
Externí odkaz:
http://arxiv.org/abs/2007.11152
Publikováno v:
In Computer Vision and Image Understanding September 2023 234