Zobrazeno 1 - 10
of 21 891
pro vyhledávání: '"AN Xinying"'
Publikováno v:
Journal of Data and Information Science, Vol 8, Iss 4, Pp 36-48 (2023)
To reveal the typical features of text duplication in papers from four medical fields: basic medicine, health management, pharmacology and pharmacy, and public health and preventive medicine. To analyze the reasons for duplication and provide suggest
Externí odkaz:
https://doaj.org/article/16883b9938954e69924b114af0a277d9
Publikováno v:
Shiyan dongwu yu bijiao yixue, Vol 43, Iss 2, Pp 194-204 (2023)
Experimental animals have made important contributions to human medical research and life and health. It is known that the development of laboratory animal science in Japan has been relatively rapid in the past few decades, providing important suppor
Externí odkaz:
https://doaj.org/article/e437f42b06904d80bc5ea2fa1ce6002e
Autor:
Perlaza, Samir M., Zou, Xinying
In this paper, the method of gaps, a technique for deriving closed-form expressions in terms of information measures for the generalization error of machine learning algorithms is introduced. The method relies on two central observations: $(a)$~The g
Externí odkaz:
http://arxiv.org/abs/2411.12030
Autor:
Liu, Xiao, Qin, Bo, Liang, Dongzhu, Dong, Guang, Lai, Hanyu, Zhang, Hanchen, Zhao, Hanlin, Iong, Iat Long, Sun, Jiadai, Wang, Jiaqi, Gao, Junjie, Shan, Junjun, Liu, Kangning, Zhang, Shudan, Yao, Shuntian, Cheng, Siyi, Yao, Wentao, Zhao, Wenyi, Liu, Xinghan, Liu, Xinyi, Chen, Xinying, Yang, Xinyue, Yang, Yang, Xu, Yifan, Yang, Yu, Wang, Yujia, Xu, Yulin, Qi, Zehan, Dong, Yuxiao, Tang, Jie
We present AutoGLM, a new series in the ChatGLM family, designed to serve as foundation agents for autonomous control of digital devices through Graphical User Interfaces (GUIs). While foundation models excel at acquiring human knowledge, they often
Externí odkaz:
http://arxiv.org/abs/2411.00820
In this paper, we present a new classifier, which integrates significance testing results over different random subspaces to yield consensus p-values for quantifying the uncertainty of classification decision. The null hypothesis is that the test sam
Externí odkaz:
http://arxiv.org/abs/2410.12297
Autor:
Qiu, Xinying, Zhang, Jingshen
Multi-level sentence simplification generates simplified sentences with varying language proficiency levels. We propose Label Confidence Weighted Learning (LCWL), a novel approach that incorporates a label confidence weighting scheme in the training
Externí odkaz:
http://arxiv.org/abs/2410.05748
Autor:
Li, Xinying, Fan, Shengjun
In this paper, we are concerned with a multidimensional backward stochastic differential equation (BSDE) with a general random terminal time $\tau$, which may take values in $[0,+\infty]$. Firstly, we establish an existence and uniqueness result for
Externí odkaz:
http://arxiv.org/abs/2410.01543
Autor:
Lu, Xinying, Xiao, Jianli
For traffic incident detection, the acquisition of data and labels is notably resource-intensive, rendering semi-supervised traffic incident detection both a formidable and consequential challenge. Thus, this paper focuses on traffic incident detecti
Externí odkaz:
http://arxiv.org/abs/2409.07839
In recent years, much of the research on clustering algorithms has primarily focused on enhancing their accuracy and efficiency, frequently at the expense of interpretability. However, as these methods are increasingly being applied in high-stakes do
Externí odkaz:
http://arxiv.org/abs/2409.00743
This project proposes a new method that uses fuzzy comprehensive evaluation method to integrate ResNet-50 self-supervised and RepVGG supervised learning. The source image dataset HWOBC oracle is taken as input, the target image is selected, and final
Externí odkaz:
http://arxiv.org/abs/2408.06811