Zobrazeno 1 - 10
of 1 043
pro vyhledávání: '"ZHANG, Xiaoke"'
It is critically important to detect the content of liver fat as it is related to cardiac complications and cardiovascular disease mortality. However, existing methods are either associated with high cost and/or medical complications (e.g., liver bio
Externí odkaz:
http://arxiv.org/abs/2405.11386
Autor:
Wang, Zezhi, Zhu, Jin, Chen, Peng, Peng, Huiyang, Zhang, Xiaoke, Wang, Anran, Zhu, Junxian, Wang, Xueqin
Applying iterative solvers on sparsity-constrained optimization (SCO) requires tedious mathematical deduction and careful programming/debugging that hinders these solvers' broad impact. In the paper, the library skscope is introduced to overcome such
Externí odkaz:
http://arxiv.org/abs/2403.18540
We study treatment effect estimation with functional treatments where the average potential outcome functional is a function of functions, in contrast to continuous treatment effect estimation where the target is a function of real numbers. By consid
Externí odkaz:
http://arxiv.org/abs/2309.08039
The additive model is a popular nonparametric regression method due to its ability to retain modeling flexibility while avoiding the curse of dimensionality. The backfitting algorithm is an intuitive and widely used numerical approach for fitting add
Externí odkaz:
http://arxiv.org/abs/2302.13441
Autor:
Zhang, Xiaoke1,2 (AUTHOR) xiaokezhang53@163.com
Publikováno v:
Molecules. Oct2024, Vol. 29 Issue 20, p4861. 35p.
Autor:
Ai, Xueshan1,2,3 (AUTHOR) 2024282060102@whu.edu.cn, Zhang, Xiaoke2 (AUTHOR) 2020302191178@whu.edu.cn, Guo, Renwei1 (AUTHOR) guo_renwei@ctg.com.cn, Li, Xiao1 (AUTHOR) li_xiao2@ctg.com.cn, Wang, Mian1 (AUTHOR) wang_mian@ctg.com.cn, Liu, Fengshuo2 (AUTHOR) 2023282060134@whu.edu.cn, Zhang, Jiawei2 (AUTHOR)
Publikováno v:
Energies (19961073). Oct2024, Vol. 17 Issue 19, p4966. 15p.
We study the problem of off-policy evaluation (OPE) for episodic Partially Observable Markov Decision Processes (POMDPs) with continuous states. Motivated by the recently proposed proximal causal inference framework, we develop a non-parametric ident
Externí odkaz:
http://arxiv.org/abs/2209.10064
Publikováno v:
In Defence Technology December 2024 42:156-175
Autor:
Tian, Yijia, Wang, Xiao, Guo, Kang, Islam, Md Niraul, Liu, Xiaotong, Liang, Wenju, Zhang, Xiaoke
Publikováno v:
In Agriculture, Ecosystems and Environment 1 December 2024 376