Zobrazeno 1 - 10
of 368
pro vyhledávání: '"Wang, Xinhe"'
Autor:
Deng, Junwei, Li, Ting-Wei, Zhang, Shiyuan, Liu, Shixuan, Pan, Yijun, Huang, Hao, Wang, Xinhe, Hu, Pingbang, Zhang, Xingjian, Ma, Jiaqi W.
Data attribution methods aim to quantify the influence of individual training samples on the prediction of artificial intelligence (AI) models. As training data plays an increasingly crucial role in the modern development of large-scale AI models, da
Externí odkaz:
http://arxiv.org/abs/2410.04555
Data attribution aims to quantify the contribution of individual training data points to the outputs of an AI model, which has been used to measure the value of training data and compensate data providers. Given the impact on financial decisions and
Externí odkaz:
http://arxiv.org/abs/2409.05657
Autor:
Wang, Xinhe, Hansen, Ben B.
Randomized controlled trials (RCTs) are used to evaluate treatment effects. When individuals are grouped together, clustered RCTs are conducted. Stratification is recommended to reduce imbalance of baseline covariates between treatment and control. I
Externí odkaz:
http://arxiv.org/abs/2406.10473
Autor:
Wang, Xinhe, Yang, Wei, Yang, Wang, Cao, Yuan, Lin, Xiaoyang, Wei, Guodong, Lu, Haichang, Tang, Peizhe, Zhao, Weisheng
Publikováno v:
Applied Physics Reviews 9, 031402 (2022)
The phenomenon originating from spin-orbit coupling (SOC) provides energy-efficient strategies for spin manipulation and device applications. The broken inversion symmetry interface and resulting electric field induce a Rashba-type spin-orbit field (
Externí odkaz:
http://arxiv.org/abs/2205.02876
Publikováno v:
In Heliyon 15 September 2024 10(17)
Publikováno v:
In Applied Thermal Engineering 1 July 2024 248 Part B
Publikováno v:
In Food Research International July 2024 187
Autor:
Chen, Zhuo, Cui, Xiufang, Jing, Yongzhi, Jin, Guo, Wang, Xiang, Fang, Yongchao, Wang, Xinhe, Liu, Dianchao, Wang, Bin
Publikováno v:
In Ceramics International 1 May 2024 50(9) Part B:16499-16510
Publikováno v:
In Ceramics International 1 March 2024 50(5):7383-7392
Stratification and rerandomization are two well-known methods used in randomized experiments for balancing the baseline covariates. Renowned scholars in experimental design have recommended combining these two methods; however, limited studies have a
Externí odkaz:
http://arxiv.org/abs/2011.05195